# 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.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 AnalyzeCustomModel(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer):
"""
Args:
backoffs (list): array of backoffs to use in the handler
concurrency (int): max number of concurrent calls
concurrentTimeout (float): max number seconds to wait on futures if concurrency >= 1
errorCol (object): column to hold http errors
imageBytes (object): bytestream of the image to use
imageUrl (object): the url of the image to use
includeTextDetails (object): Include text lines and element references in the result.
maxPollingRetries (int): number of times to poll
modelId (object): Model identifier.
outputCol (object): The name of the output column
pollingDelay (int): number of milliseconds to wait between polling
subscriptionKey (object): the API key to use
timeout (float): number of seconds to wait before closing the connection
url (object): Url of the service
"""
backoffs = Param(Params._dummy(), "backoffs", "array of backoffs to use in the handler", typeConverter=TypeConverters.toListInt)
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)
errorCol = Param(Params._dummy(), "errorCol", "column to hold http errors")
imageBytes = Param(Params._dummy(), "imageBytes", "bytestream of the image to use")
imageUrl = Param(Params._dummy(), "imageUrl", "the url of the image to use")
includeTextDetails = Param(Params._dummy(), "includeTextDetails", "Include text lines and element references in the result.")
maxPollingRetries = Param(Params._dummy(), "maxPollingRetries", "number of times to poll", typeConverter=TypeConverters.toInt)
modelId = Param(Params._dummy(), "modelId", "Model identifier.")
outputCol = Param(Params._dummy(), "outputCol", "The name of the output column")
pollingDelay = Param(Params._dummy(), "pollingDelay", "number of milliseconds to wait between polling", typeConverter=TypeConverters.toInt)
subscriptionKey = Param(Params._dummy(), "subscriptionKey", "the API key to use")
timeout = Param(Params._dummy(), "timeout", "number of seconds to wait before closing the connection", typeConverter=TypeConverters.toFloat)
url = Param(Params._dummy(), "url", "Url of the service")
@keyword_only
def __init__(
self,
java_obj=None,
backoffs=[100,500,1000],
concurrency=1,
concurrentTimeout=None,
errorCol="AnalyzeCustomModel_693f2f3c57bc_error",
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
includeTextDetails=None,
includeTextDetailsCol=None,
maxPollingRetries=1000,
modelId=None,
modelIdCol=None,
outputCol="AnalyzeCustomModel_693f2f3c57bc_output",
pollingDelay=300,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=None
):
super(AnalyzeCustomModel, self).__init__()
if java_obj is None:
self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.cognitive.AnalyzeCustomModel", self.uid)
else:
self._java_obj = java_obj
self._setDefault(backoffs=[100,500,1000])
self._setDefault(concurrency=1)
self._setDefault(errorCol="AnalyzeCustomModel_693f2f3c57bc_error")
self._setDefault(maxPollingRetries=1000)
self._setDefault(outputCol="AnalyzeCustomModel_693f2f3c57bc_output")
self._setDefault(pollingDelay=300)
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,
backoffs=[100,500,1000],
concurrency=1,
concurrentTimeout=None,
errorCol="AnalyzeCustomModel_693f2f3c57bc_error",
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
includeTextDetails=None,
includeTextDetailsCol=None,
maxPollingRetries=1000,
modelId=None,
modelIdCol=None,
outputCol="AnalyzeCustomModel_693f2f3c57bc_output",
pollingDelay=300,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=None
):
"""
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.cognitive.AnalyzeCustomModel"
@staticmethod
def _from_java(java_stage):
module_name=AnalyzeCustomModel.__module__
module_name=module_name.rsplit(".", 1)[0] + ".AnalyzeCustomModel"
return from_java(java_stage, module_name)
[docs] def setBackoffs(self, value):
"""
Args:
backoffs: array of backoffs to use in the handler
"""
self._set(backoffs=value)
return self
[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 setErrorCol(self, value):
"""
Args:
errorCol: column to hold http errors
"""
self._set(errorCol=value)
return self
[docs] def setImageBytes(self, value):
"""
Args:
imageBytes: bytestream of the image to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.org.apache.spark.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setImageBytes(value)
return self
[docs] def setImageBytesCol(self, value):
"""
Args:
imageBytes: bytestream of the image to use
"""
self._java_obj = self._java_obj.setImageBytesCol(value)
return self
[docs] def setImageUrl(self, value):
"""
Args:
imageUrl: the url of the image to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.org.apache.spark.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setImageUrl(value)
return self
[docs] def setImageUrlCol(self, value):
"""
Args:
imageUrl: the url of the image to use
"""
self._java_obj = self._java_obj.setImageUrlCol(value)
return self
[docs] def setIncludeTextDetails(self, value):
"""
Args:
includeTextDetails: Include text lines and element references in the result.
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.org.apache.spark.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setIncludeTextDetails(value)
return self
[docs] def setIncludeTextDetailsCol(self, value):
"""
Args:
includeTextDetails: Include text lines and element references in the result.
"""
self._java_obj = self._java_obj.setIncludeTextDetailsCol(value)
return self
[docs] def setMaxPollingRetries(self, value):
"""
Args:
maxPollingRetries: number of times to poll
"""
self._set(maxPollingRetries=value)
return self
[docs] def setModelId(self, value):
"""
Args:
modelId: Model identifier.
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.org.apache.spark.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setModelId(value)
return self
[docs] def setModelIdCol(self, value):
"""
Args:
modelId: Model identifier.
"""
self._java_obj = self._java_obj.setModelIdCol(value)
return self
[docs] def setOutputCol(self, value):
"""
Args:
outputCol: The name of the output column
"""
self._set(outputCol=value)
return self
[docs] def setPollingDelay(self, value):
"""
Args:
pollingDelay: number of milliseconds to wait between polling
"""
self._set(pollingDelay=value)
return self
[docs] def setSubscriptionKey(self, value):
"""
Args:
subscriptionKey: the API key to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.org.apache.spark.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setSubscriptionKey(value)
return self
[docs] def setSubscriptionKeyCol(self, value):
"""
Args:
subscriptionKey: the API key to use
"""
self._java_obj = self._java_obj.setSubscriptionKeyCol(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 setUrl(self, value):
"""
Args:
url: Url of the service
"""
self._set(url=value)
return self
[docs] def getBackoffs(self):
"""
Returns:
backoffs: array of backoffs to use in the handler
"""
return self.getOrDefault(self.backoffs)
[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 getErrorCol(self):
"""
Returns:
errorCol: column to hold http errors
"""
return self.getOrDefault(self.errorCol)
[docs] def getImageBytes(self):
"""
Returns:
imageBytes: bytestream of the image to use
"""
return self.getOrDefault(self.imageBytes)
[docs] def getImageUrl(self):
"""
Returns:
imageUrl: the url of the image to use
"""
return self.getOrDefault(self.imageUrl)
[docs] def getIncludeTextDetails(self):
"""
Returns:
includeTextDetails: Include text lines and element references in the result.
"""
return self.getOrDefault(self.includeTextDetails)
[docs] def getMaxPollingRetries(self):
"""
Returns:
maxPollingRetries: number of times to poll
"""
return self.getOrDefault(self.maxPollingRetries)
[docs] def getModelId(self):
"""
Returns:
modelId: Model identifier.
"""
return self.getOrDefault(self.modelId)
[docs] def getOutputCol(self):
"""
Returns:
outputCol: The name of the output column
"""
return self.getOrDefault(self.outputCol)
[docs] def getPollingDelay(self):
"""
Returns:
pollingDelay: number of milliseconds to wait between polling
"""
return self.getOrDefault(self.pollingDelay)
[docs] def getSubscriptionKey(self):
"""
Returns:
subscriptionKey: the API key to use
"""
return self.getOrDefault(self.subscriptionKey)
[docs] def getTimeout(self):
"""
Returns:
timeout: number of seconds to wait before closing the connection
"""
return self.getOrDefault(self.timeout)
[docs] def getUrl(self):
"""
Returns:
url: Url of the service
"""
return self.getOrDefault(self.url)
[docs] def setLocation(self, value):
self._java_obj = self._java_obj.setLocation(value)
return self
[docs] def setLinkedService(self, value):
self._java_obj = self._java_obj.setLinkedService(value)
return self