# 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.cntk._CNTKModel import _CNTKModel
from pyspark.ml.common import inherit_doc, _java2py, _py2java
from pyspark import SparkContext
[docs]@inherit_doc
class CNTKModel(_CNTKModel):
"""
Args:
SparkSession (SparkSession): The SparkSession that will be used to find the model
location (str): The location of the model, either on local or HDFS
"""
def _transfer_map_from_java(self, param):
"""
Transforms the embedded com.microsoft.azure.synapse.ml.core.serialize.params from the companion Java object.
"""
sc = SparkContext._active_spark_context
if self._java_obj.hasParam(param.name):
java_param = self._java_obj.getParam(param.name)
if self._java_obj.isSet(java_param):
java_map = self._java_obj.getOrDefault(java_param).toList()
pairs = [java_map.apply(i) for i in range(java_map.length())]
py_map = {p._1():p._2() for p in pairs}
self._set(**{param.name: py_map})
def _transfer_map_to_java(self, param):
"""
Transforms the embedded com.microsoft.azure.synapse.ml.core.serialize.params to the companion Java object.
"""
value = self.extractParamMap()[param]
java_param = self._java_obj.getParam(param.name)
pair = java_param.w(value)
self._java_obj.set(pair)
def _updatePythonFeedDict(self):
self._transfer_map_from_java(self.getParam("feedDict"))
def _updatePythonFetchDict(self):
self._transfer_map_from_java(self.getParam("fetchDict"))
def _updateJavaFeedDict(self):
self._transfer_map_to_java(self.getParam("feedDict"))
def _updateJavaFetchDict(self):
self._transfer_map_to_java(self.getParam("fetchDict"))
[docs] def setFeedDict(self, dict):
super(CNTKModel, self).setFeedDict(dict)
self._updateJavaFeedDict()
return self
[docs] def setFetchDict(self, dict):
super(CNTKModel, self).setFetchDict(dict)
self._updateJavaFetchDict()
return self
[docs] def setModelLocation(self, location):
self._java_obj = self._java_obj.setModelLocation(location)
return self
[docs] def rebroadcastCNTKModel(self, sparkSession):
jSpark = sparkSession._jsparkSession
self._java_obj = self._java_obj.rebroadcastCNTKModel(jSpark)
[docs] def setMiniBatchSize(self, n):
self._java_obj = self._java_obj.setMiniBatchSize(n)
return self
[docs] def setOutputNodeIndex(self, n):
self._java_obj = self._java_obj.setOutputNodeIndex(n)
self._updatePythonFetchDict()
return self
[docs] def getOutputNodeIndex(self):
return self._java_obj.getOutputNodeIndex()
[docs] def setOutputNode(self, n):
self._java_obj = self._java_obj.setOutputNode(n)
self._updatePythonFetchDict()
return self
[docs] def getOutputNode(self):
return self._java_obj.getOutputNode()
[docs] def setOutputCol(self, n):
self._java_obj = self._java_obj.setOutputCol(n)
self._updatePythonFetchDict()
return self
[docs] def getOutputCol(self):
return self._java_obj.getOutputCol()