<html><body> <style> body, h1, h2, h3, div, span, p, pre, a { margin: 0; padding: 0; border: 0; font-weight: inherit; font-style: inherit; font-size: 100%; font-family: inherit; vertical-align: baseline; } body { font-size: 13px; padding: 1em; } h1 { font-size: 26px; margin-bottom: 1em; } h2 { font-size: 24px; margin-bottom: 1em; } h3 { font-size: 20px; margin-bottom: 1em; margin-top: 1em; } pre, code { line-height: 1.5; font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; } pre { margin-top: 0.5em; } h1, h2, h3, p { font-family: Arial, sans serif; } h1, h2, h3 { border-bottom: solid #CCC 1px; } .toc_element { margin-top: 0.5em; } .firstline { margin-left: 2 em; } .method { margin-top: 1em; border: solid 1px #CCC; padding: 1em; background: #EEE; } .details { font-weight: bold; font-size: 14px; } </style> <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> </body></html>