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You will find out that all of the supervised machine learning algorithms in Spark are based on the features and label (unsupervised machine learning algorithms in Spark are based on the features). That is to say, you can play with all of the machine learning algorithms in Spark when you get ready the features and label in pipeline architecture. SELECT DISTINCT on one column, with multiple columns returned [Answered] RSS 3 replies Last post Sep 15, 2009 03:30 AM by invervegas Select DataFrame Rows Based on multiple conditions on columns Select rows in above DataFrame for which ‘Sale’ column contains Values greater than 30 & less than 33 i.e. filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]