Class | Description |
---|---|
Binarizer |
:: Experimental ::
Binarize a column of continuous features given a threshold.
|
Bucketizer |
:: Experimental ::
Bucketizer maps a column of continuous features to a column of feature buckets. |
ElementwiseProduct |
:: Experimental ::
Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a
provided "weight" vector.
|
HashingTF |
:: Experimental ::
Maps a sequence of terms to their term frequencies using the hashing trick.
|
IDF |
:: Experimental ::
Compute the Inverse Document Frequency (IDF) given a collection of documents.
|
IDFModel | |
Normalizer |
:: Experimental ::
Normalize a vector to have unit norm using the given p-norm.
|
OneHotEncoder |
:: 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.
|
PolynomialExpansion |
:: Experimental ::
Perform feature expansion in a polynomial space.
|
RegexTokenizer |
:: 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). |
StandardScaler |
:: Experimental ::
Standardizes features by removing the mean and scaling to unit variance using column summary
statistics on the samples in the training set.
|
StandardScalerModel | |
StringIndexer |
:: Experimental ::
A label indexer that maps a string column of labels to an ML column of label indices.
|
StringIndexerModel |
:: Experimental ::
Model fitted by
StringIndexer . |
Tokenizer |
:: Experimental ::
A tokenizer that converts the input string to lowercase and then splits it by white spaces.
|
VectorAssembler |
:: Experimental ::
A feature transformer that merges multiple columns into a vector column.
|
VectorIndexer |
:: Experimental ::
Class for indexing categorical feature columns in a dataset of
Vector . |
VectorIndexer.CategoryStats |
Helper class for tracking unique values for each feature.
|
VectorIndexerModel |
:: Experimental ::
Transform categorical features to use 0-based indices instead of their original values.
|
Word2Vec |
:: Experimental ::
Word2Vec trains a model of
Map(String, Vector) , i.e. |
Word2VecModel |
:: Experimental ::
Model fitted by
Word2Vec . |