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https://issues.apache.org/jira/browse/SPARK-10592?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15299190#comment-15299190
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Bharath Venkatesh commented on SPARK-10592:
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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=, outputCol=)
hashingTF = HashingTF(inputCol=tokenizer.getOutputCol(), outputCol=)
lr = LogisticRegression(maxIter=10, regParam=0.01)
pipeline = Pipeline(stages=[tokenizer, hashingTF, lr])
model = pipeline.fit(labeledData)
Creating a DF:
testData=sc.textFile('').map()
testDf = sqlContext.createDataFrame(testData, schema).where()
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.")
> deprecate weights and use coefficients instead in ML models
> -----------------------------------------------------------
>
> Key: SPARK-10592
> URL: https://issues.apache.org/jira/browse/SPARK-10592
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Xiangrui Meng
> Assignee: Kai Jiang
> Priority: Critical
> Fix For: 1.6.0
>
>
> The name `weights` becomes confusing as we are supporting weighted instanced.
> As discussed in https://github.com/apache/spark/pull/7884, we want to
> deprecate `weights` and use `coefficients` instead:
> * Deprecate but do not remove `weights`.
> * Only make changes under `spark.ml`.
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