Please note that the contents of this offline web site may be out of date. To access the most recent documentation visit the online version .
Note that links that point to online resources are green in color and will open in a new window.
We would love it if you could give us feedback about this material by filling this form (You have to be online to fill it)



Trainedmodels: predict

Requires authorization

Submit model id and request a prediction. Try it now .

Request

HTTP request

POST https://www.googleapis.com/prediction/v1.6/projects/project/trainedmodels/id/predict

Parameters

Parameter name Value Description
Required parameters
id string The unique name for the predictive model.
project string The project associated with the model.

Authorization

This request requires authorization with at least one of the following scopes ( read more about authentication and authorization ).

Scope
https://www.googleapis.com/auth/prediction

Request body

In the request body, supply data with the following structure:

{
  "input": {
    "csvInstance": [
      (value)
    ]
  }
}
Property name Value Description Notes
input object Input to the model for a prediction.
input. csvInstance[] list A list of input features, these can be strings or doubles.

Response

If successful, this method returns a response body with the following structure:

{
  "kind": "prediction#output",
  "id": string,
  "selfLink": string,
  "outputLabel": string,
  "outputMulti": [
    {
      "label": string,
      "score": string
    }
  ],
  "outputValue": string
}
Property name Value Description Notes
kind string What kind of resource this is - " prediction#output ".
id string The unique name for the predictive model.
outputLabel string The most likely class label (Categorical models only).
outputMulti[] list A list of class labels with their estimated probabilities (Categorical models only).
outputMulti[]. label string The class label.
outputMulti[]. score string The probability of the class label.
outputValue string The estimated regression value (Regression models only).

Try it!

Use the APIs Explorer below to call this method on live data and see the response. Alternatively, try the standalone Explorer .

Authentication required

You need to be signed in with Google+ to do that.

Signing you in...

Google Developers needs your permission to do that.