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<h1><a href="prediction_v1_6.html">Prediction API</a> . <a href="prediction_v1_6.hostedmodels.html">hostedmodels</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#predict">predict(project, 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(project, hostedModelName, body)</code>
<pre>Submit input and request an output against a hosted model.
Args:
project: string, The project associated with the model. (required)
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 label (Categorical models only).
"id": "A String", # The unique name for the predictive model.
"outputMulti": [ # A list of class labels with their estimated probabilities (Categorical models only).
{
"score": "A String", # The probability of the class label.
"label": "A String", # The class label.
},
],
"outputValue": "A String", # The estimated regression value (Regression models only).
"selfLink": "A String", # A URL to re-request this resource.
}</pre>
</div>
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