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From Nirav Patel <>
Subject Spark ML - Is it rule of thumb that all Estimators should only be Fit on Training data
Date Wed, 02 Nov 2016 18:05:00 GMT
It is very clear that for ML algorithms (classification, regression) that
Estimator only fits on training data but it's not very clear of other
estimators like IDF for example.
IDF is a feature transformation model but having IDF estimator and
transformer makes it little confusing that what exactly it does in Fitting
on one dataset vs Transforming on another dataset.


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