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| <h1><a href="prediction_v1_3.html">Prediction API</a> . <a href="prediction_v1_3.hostedmodels.html">hostedmodels</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="#predict">predict(hostedModelName, body)</a></code></p> |
| <p class="firstline">Submit input and request an output against a hosted model</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="predict">predict(hostedModelName, body)</code> |
| <pre>Submit input and request an output against a hosted model |
| |
| Args: |
| hostedModelName: string, The name of a hosted model (required) |
| body: object, The request body. (required) |
| The object takes the form of: |
| |
| { |
| "input": { # Input to the model for a prediction |
| "csvInstance": [ # A list of input features, these can be strings or doubles. |
| "", |
| ], |
| }, |
| } |
| |
| |
| Returns: |
| An object of the form: |
| |
| { |
| "kind": "prediction#output", # What kind of resource this is. |
| "outputLabel": "A String", # The most likely class [Categorical models only]. |
| "id": "A String", # The unique name for the predictive model. |
| "outputMulti": [ # A list of classes with their estimated probabilities [Categorical models only]. |
| { |
| "score": 3.14, # The probability of the class. |
| "label": "A String", # The class label. |
| }, |
| ], |
| "outputValue": 3.14, # The estimated regression value [Regression models only]. |
| "selfLink": "A String", # A URL to re-request this resource. |
| }</pre> |
| </div> |
| |
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