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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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