How many models for grid search?
How many models will be built when the cross-validator below is fit to data?
params = ParamGridBuilder().addGrid(hasher.numFeatures, [1024, 4096, 16384]) \
.addGrid(hasher.binary, [True, False]) \
.addGrid(logistic.regParam, [0.01, 0.1, 1.0, 10.0]) \
.addGrid(logistic.elasticNetParam, [0.0, 0.5, 1.0]) \
.build()
cv = CrossValidator(..., estimatorParamMaps=params, numFolds=5)
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Machine Learning with PySpark
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