docs/dyn/prediction_v1_2.training.html - platform/external/python/google-api-python-client - Git at Google

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 <h1><a href="prediction_v1_2.html">Prediction API</a> . <a href="prediction_v1_2.training.html">training</a></h1>
 <h2>Instance Methods</h2>
 <p class="toc_element">
   <code><a href="#delete">delete(data)</a></code></p>
 <p class="firstline">Delete a trained model</p>
 <p class="toc_element">
   <code><a href="#get">get(data)</a></code></p>
 <p class="firstline">Check training status of your model</p>
 <p class="toc_element">
   <code><a href="#insert">insert(body, data=None)</a></code></p>
 <p class="firstline">Begin training your model</p>
 <p class="toc_element">
   <code><a href="#update">update(data, body)</a></code></p>
 <p class="firstline">Add new data to a trained model</p>
 <h3>Method Details</h3>
 <div class="method">
     <code class="details" id="delete">delete(data)</code>
   <pre>Delete a trained model

 Args:
   data: string, mybucket/mydata resource in Google Storage (required)
 </pre>
 </div>

 <div class="method">
     <code class="details" id="get">get(data)</code>
   <pre>Check training status of your model

 Args:
   data: string, mybucket/mydata resource in Google Storage (required)

 Returns:
   An object of the form:

     {
       "selfLink": "A String",
       "kind": "prediction#training",
       "trainingStatus": "A String",
       "id": "A String",
       "modelInfo": {
         "classificationAccuracy": 3.14,
         "meanSquaredError": 3.14,
         "modelType": "A String",
       },
     }</pre>
 </div>

 <div class="method">
     <code class="details" id="insert">insert(body, data=None)</code>
   <pre>Begin training your model

 Args:
   body: object, The request body. (required)
     The object takes the form of:

 {
     "selfLink": "A String",
     "kind": "prediction#training",
     "trainingStatus": "A String",
     "id": "A String",
     "modelInfo": {
       "classificationAccuracy": 3.14,
       "meanSquaredError": 3.14,
       "modelType": "A String",
     },
   }

   data: string, mybucket/mydata resource in Google Storage

 Returns:
   An object of the form:

     {
       "selfLink": "A String",
       "kind": "prediction#training",
       "trainingStatus": "A String",
       "id": "A String",
       "modelInfo": {
         "classificationAccuracy": 3.14,
         "meanSquaredError": 3.14,
         "modelType": "A String",
       },
     }</pre>
 </div>

 <div class="method">
     <code class="details" id="update">update(data, body)</code>
   <pre>Add new data to a trained model

 Args:
   data: string, mybucket/mydata resource in Google Storage (required)
   body: object, The request body. (required)
     The object takes the form of:

 {
     "classLabel": "A String", # The true class label of this instance
     "csvInstance": [ # The input features for this instance
       "",
     ],
   }


 Returns:
   An object of the form:

     {
       "selfLink": "A String",
       "kind": "prediction#training",
       "trainingStatus": "A String",
       "id": "A String",
       "modelInfo": {
         "classificationAccuracy": 3.14,
         "meanSquaredError": 3.14,
         "modelType": "A String",
       },
     }</pre>
 </div>

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	<h1><a href="prediction_v1_2.html">Prediction API</a> . <a href="prediction_v1_2.training.html">training</a></h1>
	<h2>Instance Methods</h2>
	<p class="toc_element">
	<code><a href="#delete">delete(data)</a></code></p>
	<p class="firstline">Delete a trained model</p>
	<p class="toc_element">
	<code><a href="#get">get(data)</a></code></p>
	<p class="firstline">Check training status of your model</p>
	<p class="toc_element">
	<code><a href="#insert">insert(body, data=None)</a></code></p>
	<p class="firstline">Begin training your model</p>
	<p class="toc_element">
	<code><a href="#update">update(data, body)</a></code></p>
	<p class="firstline">Add new data to a trained model</p>
	<h3>Method Details</h3>
	<div class="method">
	<code class="details" id="delete">delete(data)</code>
	<pre>Delete a trained model

	Args:
	data: string, mybucket/mydata resource in Google Storage (required)
	</pre>
	</div>

	<div class="method">
	<code class="details" id="get">get(data)</code>
	<pre>Check training status of your model

	Args:
	data: string, mybucket/mydata resource in Google Storage (required)

	Returns:
	An object of the form:

	{
	"selfLink": "A String",
	"kind": "prediction#training",
	"trainingStatus": "A String",
	"id": "A String",
	"modelInfo": {
	"classificationAccuracy": 3.14,
	"meanSquaredError": 3.14,
	"modelType": "A String",
	},
	}</pre>
	</div>

	<div class="method">
	<code class="details" id="insert">insert(body, data=None)</code>
	<pre>Begin training your model

	Args:
	body: object, The request body. (required)
	The object takes the form of:

	{
	"selfLink": "A String",
	"kind": "prediction#training",
	"trainingStatus": "A String",
	"id": "A String",
	"modelInfo": {
	"classificationAccuracy": 3.14,
	"meanSquaredError": 3.14,
	"modelType": "A String",
	},
	}

	data: string, mybucket/mydata resource in Google Storage

	Returns:
	An object of the form:

	{
	"selfLink": "A String",
	"kind": "prediction#training",
	"trainingStatus": "A String",
	"id": "A String",
	"modelInfo": {
	"classificationAccuracy": 3.14,
	"meanSquaredError": 3.14,
	"modelType": "A String",
	},
	}</pre>
	</div>

	<div class="method">
	<code class="details" id="update">update(data, body)</code>
	<pre>Add new data to a trained model

	Args:
	data: string, mybucket/mydata resource in Google Storage (required)
	body: object, The request body. (required)
	The object takes the form of:

	{
	"classLabel": "A String", # The true class label of this instance
	"csvInstance": [ # The input features for this instance
	"",
	],
	}


	Returns:
	An object of the form:

	{
	"selfLink": "A String",
	"kind": "prediction#training",
	"trainingStatus": "A String",
	"id": "A String",
	"modelInfo": {
	"classificationAccuracy": 3.14,
	"meanSquaredError": 3.14,
	"modelType": "A String",
	},
	}</pre>
	</div>

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