Hi ,
I am trying to use LinearRegressionWithSGD on Million Song Data Set and
my model returns NaN's as weights and 0.0 as the intercept. What might
be the issue for the error ? I am using Spark 1.40 in standalone mode.
Below is my model:
val numIterations = 100
val stepSize = 1.0
val regParam = 0.01
val regType = "L2"
val algorithm = new LinearRegressionWithSGD()
algorithm.optimizer.setNumIterations(numIterations).setStepSize(stepSize).setRegParam(regParam)
val model = algorithm.run(parsedTrainData)
Regards,
Naveen
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