RandomForestRegressorModel publish

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publish(self)

[BETA] Creates a scoring engine tar file.

Parameters: Returns:

: dict

The HDFS path to the tar file.

Creates a tar file with the trained Random Forest Regressor Model The tar file is used as input to the scoring engine to predict the value of an observation.