Source code for

# 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 import *
from pyspark import keyword_only
from import JavaMLReadable, JavaMLWritable
from import running_on_synapse_internal
from import *
from import JavaTransformer, JavaEstimator, JavaModel
from import JavaEvaluator
from import inherit_doc
from import *
from import TypeConverters
from import generateTypeConverter, complexTypeConverter

[docs]@inherit_doc class DynamicMiniBatchTransformer(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer): """ Args: maxBatchSize (int): The max size of the buffer """ maxBatchSize = Param(Params._dummy(), "maxBatchSize", "The max size of the buffer", typeConverter=TypeConverters.toInt) @keyword_only def __init__( self, java_obj=None, maxBatchSize=2147483647 ): super(DynamicMiniBatchTransformer, self).__init__() if java_obj is None: self._java_obj = self._new_java_obj("", self.uid) else: self._java_obj = java_obj self._setDefault(maxBatchSize=2147483647) 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, maxBatchSize=2147483647 ): """ 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 ""
@staticmethod def _from_java(java_stage): module_name=DynamicMiniBatchTransformer.__module__ module_name=module_name.rsplit(".", 1)[0] + ".DynamicMiniBatchTransformer" return from_java(java_stage, module_name)
[docs] def setMaxBatchSize(self, value): """ Args: maxBatchSize: The max size of the buffer """ self._set(maxBatchSize=value) return self
[docs] def getMaxBatchSize(self): """ Returns: maxBatchSize: The max size of the buffer """ return self.getOrDefault(self.maxBatchSize)