:: Experimental :: Binarize a column of continuous features given a threshold.
:: Experimental ::
Bucketizer
maps a column of continuous features to a column of feature buckets.
:: Experimental :: Outputs the Hadamard product (i.
:: Experimental :: Maps a sequence of terms to their term frequencies using the hashing trick.
:: Experimental :: Compute the Inverse Document Frequency (IDF) given a collection of documents.
:: Experimental :: Model fitted by IDF.
:: Experimental :: Normalize a vector to have unit norm using the given p-norm.
:: Experimental :: A one-hot encoder that maps a column of category indices to a column of binary vectors, with at most a single one-value per row that indicates the input category index.
:: Experimental :: Perform feature expansion in a polynomial space.
:: Experimental ::
A regex based tokenizer that extracts tokens either by using the provided regex pattern to split
the text (default) or repeatedly matching the regex (if gaps
is true).
:: Experimental :: Standardizes features by removing the mean and scaling to unit variance using column summary statistics on the samples in the training set.
:: Experimental :: Model fitted by StandardScaler.
:: Experimental :: A label indexer that maps a string column of labels to an ML column of label indices.
:: Experimental :: Model fitted by StringIndexer.
:: Experimental :: A tokenizer that converts the input string to lowercase and then splits it by white spaces.
:: Experimental :: A feature transformer that merges multiple columns into a vector column.
:: Experimental :: Class for indexing categorical feature columns in a dataset of Vector.
:: Experimental :: Transform categorical features to use 0-based indices instead of their original values.
:: Experimental ::
Word2Vec trains a model of Map(String, Vector)
, i.
:: Experimental :: Model fitted by Word2Vec.