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- from pyspark.ml.regression import RandomForestRegressionModel
- rf = RandomForestRegressor(labelCol="label",featuresCol="features", numTrees=5, maxDepth=10, seed=42)
- rf_model = rf.fit(train_df)
- rf_model_path = "./hdfsData/" + "rfr_model"
- rf_model.save(rf_model_path)
- rf_model.write.overwrite().save(rf_model_path)
- rf_model.write().overwrite().save(rf_model_path)
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