google_api_machine_learning v0.13.0 GoogleApi.MachineLearning.V1.Api.Projects View Source
API calls for all endpoints tagged Projects
.
Link to this section Summary
Functions
Performs explanation on the data in the request.
AI Platform implements a custom explain
verb on top of an HTTP POST
method.
Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
Cancels a running job.
Creates a training or a batch prediction job.
Describes a job.
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Lists the jobs in the project.
Updates a specific job resource.
Sets the access control policy on the specified resource. Replaces any existing policy.
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
List all locations that provides at least one type of CMLE capability.
Starts asynchronous cancellation on a long-running operation. The server
makes a best effort to cancel the operation, but success is not
guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
. Clients can use
Operations.GetOperation or
other methods to check whether the cancellation succeeded or whether the
operation completed despite cancellation. On successful cancellation,
the operation is not deleted; instead, it becomes an operation with
an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED
.
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Creates a study.
Deletes a study.
Gets a study.
Lists all the studies in a region for an associated project.
Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.
Checks whether a trial should stop or not.
Marks a Trial as complete.
Adds a user provided trial to a Study.
Deletes a Trial.
Lists the trials associated with a Study.
Returns a long-running operation associated with the generation of trial suggestions.
Creates a model which will later contain one or more versions.
Deletes a model.
Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Lists the models in a project.
Updates a specific model resource.
Sets the access control policy on the specified resource. Replaces any existing policy.
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.
Creates a new version of a model from a trained TensorFlow model.
Deletes a model version.
Gets information about a model version.
Gets basic information about all the versions of a model.
Updates the specified Version resource.
Designates a version to be the default for the model.
Starts asynchronous cancellation on a long-running operation. The server
makes a best effort to cancel the operation, but success is not
guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
. Clients can use
Operations.GetOperation or
other methods to check whether the cancellation succeeded or whether the
operation completed despite cancellation. On successful cancellation,
the operation is not deleted; instead, it becomes an operation with
an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED
.
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Lists operations that match the specified filter in the request. If the
server doesn't support this method, it returns UNIMPLEMENTED
.
Performs online prediction on the data in the request.
Link to this section Functions
ml_projects_explain(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_explain(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleApi_HttpBody.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Performs explanation on the data in the request.
AI Platform implements a custom explain
verb on top of an HTTP POST
method.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The resource name of a model or a version.Authorization: requires the
predict
permission on the specified resource.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ExplainRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleApi_HttpBody{}}
on success{:error, info}
on failure
ml_projects_get_config(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_get_config(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_GetConfigResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The project name.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_GetConfigResponse{}}
on success{:error, info}
on failure
ml_projects_jobs_cancel(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_cancel( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Cancels a running job.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the job to cancel.jobs_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_CancelJobRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty{}}
on success{:error, info}
on failure
ml_projects_jobs_create(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_create(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Creates a training or a batch prediction job.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The project name.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job{}}
on success{:error, info}
on failure
ml_projects_jobs_get(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_get( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Describes a job.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the job to get the description of.jobs_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job{}}
on success{:error, info}
on failure
ml_projects_jobs_get_iam_policy(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_get_iam_policy( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.jobs_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:"options.requestedPolicyVersion"
(type:integer()
) - Optional. The policy format version to be returned.Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected.
Requests for policies with any conditional bindings must specify version 3. Policies without any conditional bindings may specify any valid value or leave the field unset.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy{}}
on success{:error, info}
on failure
ml_projects_jobs_list(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_list(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListJobsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Lists the jobs in the project.
If there are no jobs that match the request parameters, the list request returns an empty response body: {}.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the project for which to list jobs.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:filter
(type:String.t
) - Optional. Specifies the subset of jobs to retrieve. You can filter on the value of one or more attributes of the job object. For example, retrieve jobs with a job identifier that starts with 'census':gcloud ai-platform jobs list --filter='jobId:census'
List all failed jobs with names that start with 'rnn':
gcloud ai-platform jobs list --filter='jobId:rnn AND state:FAILED'
For more examples, see the guide to monitoring jobs.
:pageSize
(type:integer()
) - Optional. The number of jobs to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in thenext_page_token
field.The default value is 20, and the maximum page size is 100.
:pageToken
(type:String.t
) - Optional. A page token to request the next page of results.You get the token from the
next_page_token
field of the response from the previous call.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListJobsResponse{}}
on success{:error, info}
on failure
ml_projects_jobs_patch(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_patch( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Updates a specific job resource.
Currently the only supported fields to update are labels
.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The job name.jobs_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:updateMask
(type:String.t
) - Required. Specifies the path, relative toJob
, of the field to update. To adopt etag mechanism, includeetag
field in the mask, and include theetag
value in your job resource.For example, to change the labels of a job, the
update_mask
parameter would be specified aslabels
,etag
, and thePATCH
request body would specify the new value, as follows:{ "labels": { "owner": "Google", "color": "Blue" } "etag": "33a64df551425fcc55e4d42a148795d9f25f89d4" }
If
etag
matches the one on the server, the labels of the job will be replaced with the given ones, and the server endetag
will be recalculated.Currently the only supported update masks are
labels
andetag
.:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job{}}
on success{:error, info}
on failure
ml_projects_jobs_set_iam_policy(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_set_iam_policy( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Sets the access control policy on the specified resource. Replaces any existing policy.
Can return Public Errors: NOT_FOUND, INVALID_ARGUMENT and PERMISSION_DENIED
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.jobs_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleIamV1_SetIamPolicyRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy{}}
on success{:error, info}
on failure
ml_projects_jobs_test_iam_permissions(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_jobs_test_iam_permissions( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.
Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.jobs_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsResponse{}}
on success{:error, info}
on failure
ml_projects_locations_get(connection, projects_id, locations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_get( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Location.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the location.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Location{}}
on success{:error, info}
on failure
ml_projects_locations_list(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_list(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListLocationsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
List all locations that provides at least one type of CMLE capability.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the project for which available locations are to be listed (since some locations might be whitelisted for specific projects).optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:pageSize
(type:integer()
) - Optional. The number of locations to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in thenext_page_token
field.The default value is 20, and the maximum page size is 100.
:pageToken
(type:String.t
) - Optional. A page token to request the next page of results.You get the token from the
next_page_token
field of the response from the previous call.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListLocationsResponse{}}
on success{:error, info}
on failure
ml_projects_locations_operations_cancel(connection, projects_id, locations_id, operations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_operations_cancel( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Starts asynchronous cancellation on a long-running operation. The server
makes a best effort to cancel the operation, but success is not
guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
. Clients can use
Operations.GetOperation or
other methods to check whether the cancellation succeeded or whether the
operation completed despite cancellation. On successful cancellation,
the operation is not deleted; instead, it becomes an operation with
an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED
.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. The name of the operation resource to be cancelled.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.operations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty{}}
on success{:error, info}
on failure
ml_projects_locations_operations_get(connection, projects_id, locations_id, operations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_operations_get( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. The name of the operation resource.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.operations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_locations_studies_create(connection, projects_id, locations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_create( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Study.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Creates a study.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The project and location that the study belongs to. Format: projects/{project}/locations/{location}locations_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:studyId
(type:String.t
) - Required. The ID to use for the study, which will become the final component of the study's resource name.:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Study.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Study{}}
on success{:error, info}
on failure
ml_projects_locations_studies_delete(connection, projects_id, locations_id, studies_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_delete( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Deletes a study.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The study name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty{}}
on success{:error, info}
on failure
ml_projects_locations_studies_get(connection, projects_id, locations_id, studies_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_get( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Study.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets a study.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The study name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Study{}}
on success{:error, info}
on failure
ml_projects_locations_studies_list(connection, projects_id, locations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_list( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListStudiesResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Lists all the studies in a region for an associated project.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The project and location that the study belongs to. Format: projects/{project}/locations/{location}locations_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListStudiesResponse{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_add_measurement(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_add_measurement( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_AddTrialMeasurementRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_check_early_stopping_state(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_check_early_stopping_state( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Checks whether a trial should stop or not.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_CheckTrialEarlyStoppingStateRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_complete(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_complete( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Marks a Trial as complete.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_CompleteTrialRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_create(connection, projects_id, locations_id, studies_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_create( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Adds a user provided trial to a Study.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the study that the trial belongs to.locations_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_delete(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_delete( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Deletes a Trial.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_get(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_get( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets a Trial.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_list(connection, projects_id, locations_id, studies_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_list( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListTrialsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Lists the trials associated with a Study.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the study that the trial belongs to.locations_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListTrialsResponse{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_stop(connection, projects_id, locations_id, studies_id, trials_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_stop( Tesla.Env.client(), String.t(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Stops a trial.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The trial name.locations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.trials_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_StopTrialRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Trial{}}
on success{:error, info}
on failure
ml_projects_locations_studies_trials_suggest(connection, projects_id, locations_id, studies_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_locations_studies_trials_suggest( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Returns a long-running operation associated with the generation of trial suggestions.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the study that the trial belongs to.locations_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.studies_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_SuggestTrialsRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_create(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_create(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Creates a model which will later contain one or more versions.
You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The project name.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model{}}
on success{:error, info}
on failure
ml_projects_models_delete(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_delete( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Deletes a model.
You can only delete a model if there are no versions in it. You can delete versions by calling projects.models.versions.delete.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the model.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_get(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_get( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the model.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model{}}
on success{:error, info}
on failure
ml_projects_models_get_iam_policy(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_get_iam_policy( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.models_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:"options.requestedPolicyVersion"
(type:integer()
) - Optional. The policy format version to be returned.Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected.
Requests for policies with any conditional bindings must specify version 3. Policies without any conditional bindings may specify any valid value or leave the field unset.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy{}}
on success{:error, info}
on failure
ml_projects_models_list(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_list(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListModelsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Lists the models in a project.
Each project can contain multiple models, and each model can have multiple versions.
If there are no models that match the request parameters, the list request returns an empty response body: {}.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the project whose models are to be listed.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:filter
(type:String.t
) - Optional. Specifies the subset of models to retrieve.:pageSize
(type:integer()
) - Optional. The number of models to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in thenext_page_token
field.The default value is 20, and the maximum page size is 100.
:pageToken
(type:String.t
) - Optional. A page token to request the next page of results.You get the token from the
next_page_token
field of the response from the previous call.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListModelsResponse{}}
on success{:error, info}
on failure
ml_projects_models_patch(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_patch( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Updates a specific model resource.
Currently the only supported fields to update are description
and
default_version.name
.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The project name.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:updateMask
(type:String.t
) - Required. Specifies the path, relative toModel
, of the field to update.For example, to change the description of a model to "foo" and set its default version to "version_1", the
update_mask
parameter would be specified asdescription
,default_version.name
, and thePATCH
request body would specify the new value, as follows:{ "description": "foo", "defaultVersion": { "name":"version_1" } }
Currently the supported update masks are
description
anddefault_version.name
.:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Model.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_set_iam_policy(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_set_iam_policy( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Sets the access control policy on the specified resource. Replaces any existing policy.
Can return Public Errors: NOT_FOUND, INVALID_ARGUMENT and PERMISSION_DENIED
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.models_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleIamV1_SetIamPolicyRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_Policy{}}
on success{:error, info}
on failure
ml_projects_models_test_iam_permissions(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_test_iam_permissions( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.
Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofresource
. REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.models_id
(type:String.t
) - Part ofresource
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1_TestIamPermissionsResponse{}}
on success{:error, info}
on failure
ml_projects_models_versions_create(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_create( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Creates a new version of a model from a trained TensorFlow model.
If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the model. When you add a version to a model that already has one or more versions, the default version does not automatically change. If you want a new version to be the default, you must call projects.models.versions.setDefault.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the model.models_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_versions_delete(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_delete( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Deletes a model version.
Each model can have multiple versions deployed and in use at any given time. Use this method to remove a single version.
Note: You cannot delete the version that is set as the default version of the model unless it is the only remaining version.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the version. You can get the names of all the versions of a model by calling projects.models.versions.list.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.versions_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_versions_get(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_get( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets information about a model version.
Models can have multiple versions. You can call projects.models.versions.list to get the same information that this method returns for all of the versions of a model.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the version.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.versions_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version{}}
on success{:error, info}
on failure
ml_projects_models_versions_list(connection, projects_id, models_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_list( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListVersionsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets basic information about all the versions of a model.
If you expect that a model has many versions, or if you need to handle only a limited number of results at a time, you can request that the list be retrieved in batches (called pages).
If there are no versions that match the request parameters, the list request returns an empty response body: {}.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofparent
. Required. The name of the model for which to list the version.models_id
(type:String.t
) - Part ofparent
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:filter
(type:String.t
) - Optional. Specifies the subset of versions to retrieve.:pageSize
(type:integer()
) - Optional. The number of versions to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in thenext_page_token
field.The default value is 20, and the maximum page size is 100.
:pageToken
(type:String.t
) - Optional. A page token to request the next page of results.You get the token from the
next_page_token
field of the response from the previous call.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_ListVersionsResponse{}}
on success{:error, info}
on failure
ml_projects_models_versions_patch(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_patch( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Updates the specified Version resource.
Currently the only update-able fields are description
,
requestLoggingConfig
, autoScaling.minNodes
, and manualScaling.nodes
.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the model.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.versions_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:updateMask
(type:String.t
) - Required. Specifies the path, relative toVersion
, of the field to update. Must be present and non-empty.For example, to change the description of a version to "foo", the
update_mask
parameter would be specified asdescription
, and thePATCH
request body would specify the new value, as follows:{ "description": "foo" }
Currently the only supported update mask fields are
description
,requestLoggingConfig
,autoScaling.minNodes
, andmanualScaling.nodes
. However, you can only updatemanualScaling.nodes
if the version uses a Compute Engine (N1) machine type.:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_models_versions_set_default(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_models_versions_set_default( Tesla.Env.client(), String.t(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Designates a version to be the default for the model.
The default version is used for prediction requests made against the model that don't specify a version.
The first version to be created for a model is automatically set as the default. You must make any subsequent changes to the default version setting manually using this method.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The name of the version to make the default for the model. You can get the names of all the versions of a model by calling projects.models.versions.list.models_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.versions_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_SetDefaultVersionRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Version{}}
on success{:error, info}
on failure
ml_projects_operations_cancel(connection, projects_id, operations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_operations_cancel( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Starts asynchronous cancellation on a long-running operation. The server
makes a best effort to cancel the operation, but success is not
guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
. Clients can use
Operations.GetOperation or
other methods to check whether the cancellation succeeded or whether the
operation completed despite cancellation. On successful cancellation,
the operation is not deleted; instead, it becomes an operation with
an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED
.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. The name of the operation resource to be cancelled.operations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobuf_Empty{}}
on success{:error, info}
on failure
ml_projects_operations_get(connection, projects_id, operations_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_operations_get( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. The name of the operation resource.operations_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_Operation{}}
on success{:error, info}
on failure
ml_projects_operations_list(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_operations_list( Tesla.Env.client(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_ListOperationsResponse.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Lists operations that match the specified filter in the request. If the
server doesn't support this method, it returns UNIMPLEMENTED
.
NOTE: the name
binding allows API services to override the binding
to use different resource name schemes, such as users/*/operations
. To
override the binding, API services can add a binding such as
"/v1/{name=users/*}/operations"
to their service configuration.
For backwards compatibility, the default name includes the operations
collection id, however overriding users must ensure the name binding
is the parent resource, without the operations collection id.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. The name of the operation's parent resource.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:filter
(type:String.t
) - The standard list filter.:pageSize
(type:integer()
) - The standard list page size.:pageToken
(type:String.t
) - The standard list page token.
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunning_ListOperationsResponse{}}
on success{:error, info}
on failure
ml_projects_predict(connection, projects_id, optional_params \\ [], opts \\ [])
View Sourceml_projects_predict(Tesla.Env.client(), String.t(), keyword(), keyword()) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleApi_HttpBody.t()} | {:ok, Tesla.Env.t()} | {:error, Tesla.Env.t()}
Performs online prediction on the data in the request.
Parameters
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to serverprojects_id
(type:String.t
) - Part ofname
. Required. The resource name of a model or a version.Authorization: requires the
predict
permission on the specified resource.optional_params
(type:keyword()
) - Optional parameters:"$.xgafv"
(type:String.t
) - V1 error format.:access_token
(type:String.t
) - OAuth access token.:alt
(type:String.t
) - Data format for response.:callback
(type:String.t
) - JSONP:fields
(type:String.t
) - Selector specifying which fields to include in a partial response.:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user.:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks.:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart").:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart").:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_PredictRequest.t
) -
opts
(type:keyword()
) - Call options
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleApi_HttpBody{}}
on success{:error, info}
on failure