machine learning - Spark (1.6) ML Linear Regression - how to predict w/ a model -


i have working linear regression model:

lrmodel org.apache.spark.ml.regression.linearregressionmodel

and have data in dataframe:

data org.apache.spark.sql.dataframe = [label: double, features: vector]

how use model predict? in case, want like:

lrmodel.predict(data)  // doesn't work

then compare expected value (label) predicted value

to predict need have dataframe, , convert using transform method part of ml models. note of them require dataframes have same structure of training data, hence fetures column.


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