Source code for synapse.ml.stages.PartitionConsolidator

# 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 pyspark import SparkContext, SQLContext
from pyspark.sql import DataFrame
from pyspark.ml.param.shared import *
from pyspark import keyword_only
from pyspark.ml.util import JavaMLReadable, JavaMLWritable
from synapse.ml.core.platform import running_on_synapse_internal
from synapse.ml.core.serialize.java_params_patch import *
from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
from pyspark.ml.evaluation import JavaEvaluator
from pyspark.ml.common import inherit_doc
from synapse.ml.core.schema.Utils import *
from pyspark.ml.param import TypeConverters
from synapse.ml.core.schema.TypeConversionUtils import generateTypeConverter, complexTypeConverter


[docs]@inherit_doc class PartitionConsolidator(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer): """ Args: concurrency (int): max number of concurrent calls concurrentTimeout (float): max number seconds to wait on futures if concurrency >= 1 inputCol (str): The name of the input column outputCol (str): The name of the output column timeout (float): number of seconds to wait before closing the connection """ concurrency = Param(Params._dummy(), "concurrency", "max number of concurrent calls", typeConverter=TypeConverters.toInt) concurrentTimeout = Param(Params._dummy(), "concurrentTimeout", "max number seconds to wait on futures if concurrency >= 1", typeConverter=TypeConverters.toFloat) inputCol = Param(Params._dummy(), "inputCol", "The name of the input column", typeConverter=TypeConverters.toString) outputCol = Param(Params._dummy(), "outputCol", "The name of the output column", typeConverter=TypeConverters.toString) timeout = Param(Params._dummy(), "timeout", "number of seconds to wait before closing the connection", typeConverter=TypeConverters.toFloat) @keyword_only def __init__( self, java_obj=None, concurrency=1, concurrentTimeout=None, inputCol=None, outputCol=None, timeout=60.0 ): super(PartitionConsolidator, self).__init__() if java_obj is None: self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.stages.PartitionConsolidator", self.uid) else: self._java_obj = java_obj self._setDefault(concurrency=1) self._setDefault(timeout=60.0) if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs if java_obj is None: for k,v in kwargs.items(): if v is not None: getattr(self, "set" + k[0].upper() + k[1:])(v)
[docs] @keyword_only def setParams( self, concurrency=1, concurrentTimeout=None, inputCol=None, outputCol=None, timeout=60.0 ): """ Set the (keyword only) parameters """ if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs return self._set(**kwargs)
[docs] @classmethod def read(cls): """ Returns an MLReader instance for this class. """ return JavaMMLReader(cls)
[docs] @staticmethod def getJavaPackage(): """ Returns package name String. """ return "com.microsoft.azure.synapse.ml.stages.PartitionConsolidator"
@staticmethod def _from_java(java_stage): module_name=PartitionConsolidator.__module__ module_name=module_name.rsplit(".", 1)[0] + ".PartitionConsolidator" return from_java(java_stage, module_name)
[docs] def setConcurrency(self, value): """ Args: concurrency: max number of concurrent calls """ self._set(concurrency=value) return self
[docs] def setConcurrentTimeout(self, value): """ Args: concurrentTimeout: max number seconds to wait on futures if concurrency >= 1 """ self._set(concurrentTimeout=value) return self
[docs] def setInputCol(self, value): """ Args: inputCol: The name of the input column """ self._set(inputCol=value) return self
[docs] def setOutputCol(self, value): """ Args: outputCol: The name of the output column """ self._set(outputCol=value) return self
[docs] def setTimeout(self, value): """ Args: timeout: number of seconds to wait before closing the connection """ self._set(timeout=value) return self
[docs] def getConcurrency(self): """ Returns: concurrency: max number of concurrent calls """ return self.getOrDefault(self.concurrency)
[docs] def getConcurrentTimeout(self): """ Returns: concurrentTimeout: max number seconds to wait on futures if concurrency >= 1 """ return self.getOrDefault(self.concurrentTimeout)
[docs] def getInputCol(self): """ Returns: inputCol: The name of the input column """ return self.getOrDefault(self.inputCol)
[docs] def getOutputCol(self): """ Returns: outputCol: The name of the output column """ return self.getOrDefault(self.outputCol)
[docs] def getTimeout(self): """ Returns: timeout: number of seconds to wait before closing the connection """ return self.getOrDefault(self.timeout)