Source code for synapse.ml.automl.BestModel

# Copyright (C) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE in project root for information.

import sys

if sys.version >= "3":
    basestring = str

from synapse.ml.automl._BestModel import _BestModel
from pyspark import SparkContext, SQLContext
from pyspark.ml.wrapper import JavaParams
from pyspark.ml.common import inherit_doc
from pyspark.sql import DataFrame


[docs]@inherit_doc class BestModel(_BestModel):
[docs] def getBestModel(self): """ Returns the best model. """ return JavaParams._from_java(self._java_obj.getBestModel())
[docs] def getScoredDataset(self): """ Returns scored dataset for the best model. """ ctx = SparkContext._active_spark_context sql_ctx = SQLContext.getOrCreate(ctx) return DataFrame(self._java_obj.getScoredDataset(), sql_ctx)
[docs] def getEvaluationResults(self): """ Returns the ROC curve with TPR, FPR. """ ctx = SparkContext._active_spark_context sql_ctx = SQLContext.getOrCreate(ctx) return DataFrame(self._java_obj.getEvaluationResults(), sql_ctx)
[docs] def getBestModelMetrics(self): """ Returns all of the best model metrics results from the evaluator. """ ctx = SparkContext._active_spark_context sql_ctx = SQLContext.getOrCreate(ctx) return DataFrame(self._java_obj.getBestModelMetrics(), sql_ctx)
[docs] def getAllModelMetrics(self): """ Returns a table of metrics from all models compared from the evaluation comparison. """ ctx = SparkContext._active_spark_context sql_ctx = SQLContext.getOrCreate(ctx) return DataFrame(self._java_obj.getAllModelMetrics(), sql_ctx)