docs/dyn/ml_v1.projects.html - platform/external/python/google-api-python-client - Git at Google

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 <h1><a href="ml_v1.html">Cloud Machine Learning Engine</a> . <a href="ml_v1.projects.html">projects</a></h1>
 <h2>Instance Methods</h2>
 <p class="toc_element">
   <code><a href="ml_v1.projects.jobs.html">jobs()</a></code>
 </p>
 <p class="firstline">Returns the jobs Resource.</p>

 <p class="toc_element">
   <code><a href="ml_v1.projects.locations.html">locations()</a></code>
 </p>
 <p class="firstline">Returns the locations Resource.</p>

 <p class="toc_element">
   <code><a href="ml_v1.projects.models.html">models()</a></code>
 </p>
 <p class="firstline">Returns the models Resource.</p>

 <p class="toc_element">
   <code><a href="ml_v1.projects.operations.html">operations()</a></code>
 </p>
 <p class="firstline">Returns the operations Resource.</p>

 <p class="toc_element">
   <code><a href="#getConfig">getConfig(name, x__xgafv=None)</a></code></p>
 <p class="firstline">Get the service account information associated with your project. You need</p>
 <p class="toc_element">
   <code><a href="#predict">predict(name, body, x__xgafv=None)</a></code></p>
 <p class="firstline">Performs prediction on the data in the request.</p>
 <h3>Method Details</h3>
 <div class="method">
     <code class="details" id="getConfig">getConfig(name, x__xgafv=None)</code>
   <pre>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.

 Args:
   name: string, Required. The project name. (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
       2 - v2 error format

 Returns:
   An object of the form:

     { # Returns service account information associated with a project.
     "serviceAccountProject": "A String", # The project number for `service_account`.
     "config": {
       "tpuServiceAccount": "A String", # The service account Cloud ML uses to run on TPU node.
     },
     "serviceAccount": "A String", # The service account Cloud ML uses to access resources in the project.
   }</pre>
 </div>

 <div class="method">
     <code class="details" id="predict">predict(name, body, x__xgafv=None)</code>
   <pre>Performs prediction on the data in the request.
 AI Platform implements a custom `predict` verb on top of an HTTP POST
 method. <p>For details of the request and response format, see the **guide
 to the [predict request format](/ml-engine/docs/v1/predict-request)**.

 Args:
   name: string, Required. The resource name of a model or a version.

 Authorization: requires the `predict` permission on the specified resource. (required)
   body: object, The request body. (required)
     The object takes the form of:

 { # Request for predictions to be issued against a trained model.
     "httpBody": { # Message that represents an arbitrary HTTP body. It should only be used for #
         # Required. The prediction request body.
         # payload formats that can't be represented as JSON, such as raw binary or
         # an HTML page.
         #
         #
         # This message can be used both in streaming and non-streaming API methods in
         # the request as well as the response.
         #
         # It can be used as a top-level request field, which is convenient if one
         # wants to extract parameters from either the URL or HTTP template into the
         # request fields and also want access to the raw HTTP body.
         #
         # Example:
         #
         #     message GetResourceRequest {
         #       // A unique request id.
         #       string request_id = 1;
         #
         #       // The raw HTTP body is bound to this field.
         #       google.api.HttpBody http_body = 2;
         #     }
         #
         #     service ResourceService {
         #       rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
         #       rpc UpdateResource(google.api.HttpBody) returns
         #       (google.protobuf.Empty);
         #     }
         #
         # Example with streaming methods:
         #
         #     service CaldavService {
         #       rpc GetCalendar(stream google.api.HttpBody)
         #         returns (stream google.api.HttpBody);
         #       rpc UpdateCalendar(stream google.api.HttpBody)
         #         returns (stream google.api.HttpBody);
         #     }
         #
         # Use of this type only changes how the request and response bodies are
         # handled, all other features will continue to work unchanged.
       "extensions": [ # Application specific response metadata. Must be set in the first response
           # for streaming APIs.
         {
           "a_key": "", # Properties of the object. Contains field @type with type URL.
         },
       ],
       "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
       "data": "A String", # The HTTP request/response body as raw binary.
     },
   }

   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
       2 - v2 error format

 Returns:
   An object of the form:

     { # Message that represents an arbitrary HTTP body. It should only be used for
       # payload formats that can't be represented as JSON, such as raw binary or
       # an HTML page.
       #
       #
       # This message can be used both in streaming and non-streaming API methods in
       # the request as well as the response.
       #
       # It can be used as a top-level request field, which is convenient if one
       # wants to extract parameters from either the URL or HTTP template into the
       # request fields and also want access to the raw HTTP body.
       #
       # Example:
       #
       #     message GetResourceRequest {
       #       // A unique request id.
       #       string request_id = 1;
       #
       #       // The raw HTTP body is bound to this field.
       #       google.api.HttpBody http_body = 2;
       #     }
       #
       #     service ResourceService {
       #       rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
       #       rpc UpdateResource(google.api.HttpBody) returns
       #       (google.protobuf.Empty);
       #     }
       #
       # Example with streaming methods:
       #
       #     service CaldavService {
       #       rpc GetCalendar(stream google.api.HttpBody)
       #         returns (stream google.api.HttpBody);
       #       rpc UpdateCalendar(stream google.api.HttpBody)
       #         returns (stream google.api.HttpBody);
       #     }
       #
       # Use of this type only changes how the request and response bodies are
       # handled, all other features will continue to work unchanged.
     "extensions": [ # Application specific response metadata. Must be set in the first response
         # for streaming APIs.
       {
         "a_key": "", # Properties of the object. Contains field @type with type URL.
       },
     ],
     "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
     "data": "A String", # The HTTP request/response body as raw binary.
   }</pre>
 </div>

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	</style>

	<h1><a href="ml_v1.html">Cloud Machine Learning Engine</a> . <a href="ml_v1.projects.html">projects</a></h1>
	<h2>Instance Methods</h2>
	<p class="toc_element">
	<code><a href="ml_v1.projects.jobs.html">jobs()</a></code>
	</p>
	<p class="firstline">Returns the jobs Resource.</p>

	<p class="toc_element">
	<code><a href="ml_v1.projects.locations.html">locations()</a></code>
	</p>
	<p class="firstline">Returns the locations Resource.</p>

	<p class="toc_element">
	<code><a href="ml_v1.projects.models.html">models()</a></code>
	</p>
	<p class="firstline">Returns the models Resource.</p>

	<p class="toc_element">
	<code><a href="ml_v1.projects.operations.html">operations()</a></code>
	</p>
	<p class="firstline">Returns the operations Resource.</p>

	<p class="toc_element">
	<code><a href="#getConfig">getConfig(name, x__xgafv=None)</a></code></p>
	<p class="firstline">Get the service account information associated with your project. You need</p>
	<p class="toc_element">
	<code><a href="#predict">predict(name, body, x__xgafv=None)</a></code></p>
	<p class="firstline">Performs prediction on the data in the request.</p>
	<h3>Method Details</h3>
	<div class="method">
	<code class="details" id="getConfig">getConfig(name, x__xgafv=None)</code>
	<pre>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.

	Args:
	name: string, Required. The project name. (required)
	x__xgafv: string, V1 error format.
	Allowed values
	1 - v1 error format
	2 - v2 error format

	Returns:
	An object of the form:

	{ # Returns service account information associated with a project.
	"serviceAccountProject": "A String", # The project number for `service_account`.
	"config": {
	"tpuServiceAccount": "A String", # The service account Cloud ML uses to run on TPU node.
	},
	"serviceAccount": "A String", # The service account Cloud ML uses to access resources in the project.
	}</pre>
	</div>

	<div class="method">
	<code class="details" id="predict">predict(name, body, x__xgafv=None)</code>
	<pre>Performs prediction on the data in the request.
	AI Platform implements a custom `predict` verb on top of an HTTP POST
	method. <p>For details of the request and response format, see the **guide
	to the [predict request format](/ml-engine/docs/v1/predict-request)**.

	Args:
	name: string, Required. The resource name of a model or a version.

	Authorization: requires the `predict` permission on the specified resource. (required)
	body: object, The request body. (required)
	The object takes the form of:

	{ # Request for predictions to be issued against a trained model.
	"httpBody": { # Message that represents an arbitrary HTTP body. It should only be used for #
	# Required. The prediction request body.
	# payload formats that can't be represented as JSON, such as raw binary or
	# an HTML page.
	#
	#
	# This message can be used both in streaming and non-streaming API methods in
	# the request as well as the response.
	#
	# It can be used as a top-level request field, which is convenient if one
	# wants to extract parameters from either the URL or HTTP template into the
	# request fields and also want access to the raw HTTP body.
	#
	# Example:
	#
	# message GetResourceRequest {
	# // A unique request id.
	# string request_id = 1;
	#
	# // The raw HTTP body is bound to this field.
	# google.api.HttpBody http_body = 2;
	# }
	#
	# service ResourceService {
	# rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
	# rpc UpdateResource(google.api.HttpBody) returns
	# (google.protobuf.Empty);
	# }
	#
	# Example with streaming methods:
	#
	# service CaldavService {
	# rpc GetCalendar(stream google.api.HttpBody)
	# returns (stream google.api.HttpBody);
	# rpc UpdateCalendar(stream google.api.HttpBody)
	# returns (stream google.api.HttpBody);
	# }
	#
	# Use of this type only changes how the request and response bodies are
	# handled, all other features will continue to work unchanged.
	"extensions": [ # Application specific response metadata. Must be set in the first response
	# for streaming APIs.
	{
	"a_key": "", # Properties of the object. Contains field @type with type URL.
	},
	],
	"contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
	"data": "A String", # The HTTP request/response body as raw binary.
	},
	}

	x__xgafv: string, V1 error format.
	Allowed values
	1 - v1 error format
	2 - v2 error format

	Returns:
	An object of the form:

	{ # Message that represents an arbitrary HTTP body. It should only be used for
	# payload formats that can't be represented as JSON, such as raw binary or
	# an HTML page.
	#
	#
	# This message can be used both in streaming and non-streaming API methods in
	# the request as well as the response.
	#
	# It can be used as a top-level request field, which is convenient if one
	# wants to extract parameters from either the URL or HTTP template into the
	# request fields and also want access to the raw HTTP body.
	#
	# Example:
	#
	# message GetResourceRequest {
	# // A unique request id.
	# string request_id = 1;
	#
	# // The raw HTTP body is bound to this field.
	# google.api.HttpBody http_body = 2;
	# }
	#
	# service ResourceService {
	# rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
	# rpc UpdateResource(google.api.HttpBody) returns
	# (google.protobuf.Empty);
	# }
	#
	# Example with streaming methods:
	#
	# service CaldavService {
	# rpc GetCalendar(stream google.api.HttpBody)
	# returns (stream google.api.HttpBody);
	# rpc UpdateCalendar(stream google.api.HttpBody)
	# returns (stream google.api.HttpBody);
	# }
	#
	# Use of this type only changes how the request and response bodies are
	# handled, all other features will continue to work unchanged.
	"extensions": [ # Application specific response metadata. Must be set in the first response
	# for streaming APIs.
	{
	"a_key": "", # Properties of the object. Contains field @type with type URL.
	},
	],
	"contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
	"data": "A String", # The HTTP request/response body as raw binary.
	}</pre>
	</div>

	</body></html>