RandomForestRegressorModel predict¶

predict(self, frame, observation_columns=None)¶

[ALPHA] Predict the values for the data points.

Parameters:

Parameters:	frame : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>> A frame whose labels are to be predicted. By default, predict is run on the same columns over which the model is trained. observation_columns : list (default=None) Column(s) containing the observations whose labels are to be predicted. By default, we predict the labels over columns the Random Forest model was trained on.
Returns:	: <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>> A new frame consisting of the existing columns of the frame and a new column with predicted value for each observation.

frame : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A frame whose labels are to be predicted. By default, predict is run on the same columns over which the model is trained.

observation_columns : list (default=None)

Column(s) containing the observations whose labels are to be predicted. By default, we predict the labels over columns the Random Forest model was trained on.

Returns:

: <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A new frame consisting of the existing columns of the frame and a new column with predicted value for each observation.

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RandomForestRegressorModel predict¶