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<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
/**
* The "projects" collection of methods.
* Typical usage is:
* <code>
* $mlService = new Google_Service_CloudMachineLearning(...);
* $projects = $mlService->projects;
* </code>
*/
class Google_Service_CloudMachineLearning_Resource_Projects extends Google_Service_Resource
{
/**
* Get the service account information associated with your project. You need
* this information in order to grant the service account persmissions for the
* Google Cloud Storage location where you put your model training code for
* training the model with Google Cloud Machine Learning. (projects.getConfig)
*
* @param string $name Required. The project name.
*
* Authorization: requires `Viewer` role on the specified project.
* @param array $optParams Optional parameters.
* @return Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1GetConfigResponse
*/
public function getConfig($name, $optParams = array())
{
$params = array('name' => $name);
$params = array_merge($params, $optParams);
return $this->call('getConfig', array($params), "Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1GetConfigResponse");
}
/**
* Performs prediction on the data in the request.
*
* Responses are very similar to requests. There are two top-level fields, each
* of which are JSON lists:
*
* predictions The list of predictions, one per instance in the request.
* error An error message returned instead of a prediction list if any
* instance produced an error.
*
* If the call is successful, the response body will contain one prediction
* entry per instance in the request body. If prediction fails for any instance,
* the response body will contain no predictions and will contian a single error
* entry instead.
*
* Even though there is one prediction per instance, the format of a prediction
* is not directly related to the format of an instance. Predictions take
* whatever format is specified in the outputs collection defined in the model.
* The collection of predictions is returned in a JSON list. Each member of the
* list can be a simple value, a list, or a JSON object of any complexity. If
* your model has more than one output tensor, each prediction will be a JSON
* object containing a name/value pair for each output. The names identify the
* output aliases in the graph.
*
* The following examples show some possible responses:
*
* A simple set of predictions for three input instances, where each prediction
* is an integer value:
*
* {"predictions": [5, 4, 3]}
*
* A more complex set of predictions, each containing two named values that
* correspond to output tensors, named **label** and **scores** respectively.
* The value of **label** is the predicted category ("car" or "beach") and
* **scores** contains a list of probabilities for that instance across the
* possible categories.
*
* {"predictions": [{"label": "beach", "scores": [0.1, 0.9]},
* {"label": "car", "scores": [0.75, 0.25]}]}
*
* A response when there is an error processing an input instance:
*
* {"error": "Divide by zero"} (projects.predict)
*
* @param string $name Required. The resource name of a model or a version.
*
* Authorization: requires `Viewer` role on the parent project.
* @param Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1PredictRequest $postBody
* @param array $optParams Optional parameters.
* @return Google_Service_CloudMachineLearning_GoogleApiHttpBody
*/
public function predict($name, Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1PredictRequest $postBody, $optParams = array())
{
$params = array('name' => $name, 'postBody' => $postBody);
$params = array_merge($params, $optParams);
return $this->call('predict', array($params), "Google_Service_CloudMachineLearning_GoogleApiHttpBody");
}
}
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