[GitHub] spark pull request: [SPARK-10592] [ML] [PySpark] Deprecate weights...

[bharath-official <gi...@git.apache.org>]

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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