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#Org.apache.spark.ml.feature Classes and Interfaces - 40 results found.
NameDescriptionTypePackageFramework
Binarizer Binarize a column of continuous features given a threshold.Classorg.apache.spark.ml.featureApache Spark
Bucketizer Bucketizer maps a column of continuous features to a column of feature buckets.Classorg.apache.spark.ml.featureApache Spark
ChiSqSelector Chi-Squared feature selection, which selects categorical features to use for predicting aSee Also:Serialized FormClassorg.apache.spark.ml.featureApache Spark
ChiSqSelectorModelClassorg.apache.spark.ml.featureApache Spark
ColumnPrunerUtility transformer for removing temporary columns from a DataFrame.Classorg.apache.spark.ml.featureApache Spark
CountVectorizer Extracts a vocabulary from document collections and generates a CountVectorizerModel.Classorg.apache.spark.ml.featureApache Spark
CountVectorizerModel Converts a text document to a sparse vector of token counts.Classorg.apache.spark.ml.featureApache Spark
DCT A feature transformer that takes the 1D discrete cosine transform of a real vector.Classorg.apache.spark.ml.featureApache Spark
ElementwiseProduct Outputs the Hadamard product (i.Classorg.apache.spark.ml.featureApache Spark
HashingTF Maps a sequence of terms to their term frequencies using the hashing trick.Classorg.apache.spark.ml.featureApache Spark
IDF Compute the Inverse Document Frequency (IDF) given a collection of documents.Classorg.apache.spark.ml.featureApache Spark
IDFModelClassorg.apache.spark.ml.featureApache Spark
IndexToStringClassorg.apache.spark.ml.featureApache Spark
Interaction Implements the feature interaction transform.Classorg.apache.spark.ml.featureApache Spark
MinMaxScaler Rescale each feature individually to a common range [min, max] linearly using column summary statistics, which is also known as min-max normalization or Rescaling.Classorg.apache.spark.ml.featureApache Spark
MinMaxScalerModelClassorg.apache.spark.ml.featureApache Spark
NGram A feature transformer that converts the input array of strings into an array of n-grams.Classorg.apache.spark.ml.featureApache Spark
Normalizer Normalize a vector to have unit norm using the given p-norm.Classorg.apache.spark.ml.featureApache Spark
OneHotEncoder 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.Classorg.apache.spark.ml.featureApache Spark
PCA PCA trains a model to project vectors to a low-dimensional space using PCA.Classorg.apache.spark.ml.featureApache Spark
PCAModelClassorg.apache.spark.ml.featureApache Spark
PolynomialExpansion Perform feature expansion in a polynomial space.Classorg.apache.spark.ml.featureApache Spark
QuantileDiscretizer QuantileDiscretizer takes a column with continuous features and outputs a column with binned categorical features.Classorg.apache.spark.ml.featureApache Spark
RegexTokenizer 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 false).Classorg.apache.spark.ml.featureApache Spark
RFormula Implements the transforms required for fitting a dataset against an R model formula.Classorg.apache.spark.ml.featureApache Spark
RFormulaModel A fitted RFormula.Classorg.apache.spark.ml.featureApache Spark
SQLTransformer Implements the transformations which are defined by SQL statement.Classorg.apache.spark.ml.featureApache Spark
StandardScaler Standardizes features by removing the mean and scaling to unit variance using column summary statistics on the samples in the training set.Classorg.apache.spark.ml.featureApache Spark
StandardScalerModelClassorg.apache.spark.ml.featureApache Spark
StopWordsRemover A feature transformer that filters out stop words from input.Classorg.apache.spark.ml.featureApache Spark
StringIndexer A label indexer that maps a string column of labels to an ML column of label indices.Classorg.apache.spark.ml.featureApache Spark
StringIndexerModel Model fitted by StringIndexer.Classorg.apache.spark.ml.featureApache Spark
Tokenizer A tokenizer that converts the input string to lowercase and then splits it by white spaces.Classorg.apache.spark.ml.featureApache Spark
VectorAssembler A feature transformer that merges multiple columns into a vector column.Classorg.apache.spark.ml.featureApache Spark
VectorAttributeRewriterUtility transformer that rewrites Vector attribute names via prefix replacement.Classorg.apache.spark.ml.featureApache Spark
VectorIndexer Class for indexing categorical feature columns in a dataset of Vector.Classorg.apache.spark.ml.featureApache Spark
VectorIndexerModel Transform categorical features to use 0-based indices instead of their original values.Classorg.apache.spark.ml.featureApache Spark
VectorSlicer This class takes a feature vector and outputs a new feature vector with a subarray of the The subset of features can be specified with either indices (setIndices())Classorg.apache.spark.ml.featureApache Spark
Word2Vec Word2Vec trains a model of Map(String, Vector), i.Classorg.apache.spark.ml.featureApache Spark
Word2VecModel Model fitted by Word2Vec.Classorg.apache.spark.ml.featureApache Spark