Github user bharath-official commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-221436872
Hi Kai
I am trying to build a learning model in Spark 1.6 and I think I am hitting
a bug related to this deprecation.
This is our sample usecase.
**Creating a learning model:**
tokenizer = Tokenizer(inputCol=<InputCol>, outputCol=<OutputCol>)
hashingTF = HashingTF(inputCol=tokenizer.getOutputCol(),
outputCol=<OutputCol>)
lr = LogisticRegression(maxIter=10, regParam=0.01)
pipeline = Pipeline(stages=[tokenizer, hashingTF, lr])
model = pipeline.fit(labeledData)
**Creating a DF:**
testData=sc.textFile('<FilePath>').map(<UserDefinedFunctionToParseFile>)
testDf = sqlContext.createDataFrame(testData, schema).where(<Conditions>)
**Evaluate a target Dataset by calling Model.Transform:**
predictionsDf = model.transform(testDf)
I am calling the **transform** function. The transform is in turn referring
to weights which seems to be deprecated. I am getting the below Warning.
Warning:
/usr/lib/spark/python/pyspark/ml/classification.py:207: UserWarning:
weights is deprecated. Use coefficients instead.
warnings.warn("weights is deprecated. Use coefficients instead.")
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