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#Org.apache.spark.mllib.feature Classes and Interfaces - 16 results found.
NameDescriptionTypePackageFramework
ChiSqSelectorClassorg.apache.spark.mllib.featureApache Spark
ChiSqSelectorModelChi Squared selector model.Classorg.apache.spark.mllib.featureApache Spark
ElementwiseProductOutputs the Hadamard product (i.Classorg.apache.spark.mllib.featureApache Spark
HashingTFMaps a sequence of terms to their term frequencies using the hashing trick.Classorg.apache.spark.mllib.featureApache Spark
IDFInverse document frequency (IDF).Classorg.apache.spark.mllib.featureApache Spark
IDF .DocumentFrequencyAggregatorDocument frequency aggregator.Classorg.apache.spark.mllib.feature.IDFApache Spark
IDFModelRepresents an IDF model that can transform term frequency vectors.Classorg.apache.spark.mllib.featureApache Spark
NormalizerNormalizes samples individually to unit L^p^ norm For any 1 <= p < Double.Classorg.apache.spark.mllib.featureApache Spark
PCAA feature transformer that projects vectors to a low-dimensional space using PCA.Classorg.apache.spark.mllib.featureApache Spark
PCAModelModel fitted by PCA that can project vectors to a low-dimensional space using PCA.Classorg.apache.spark.mllib.featureApache Spark
StandardScalerStandardizes features by removing the mean and scaling to unit std using column summary statistics on the samples in the training set.Classorg.apache.spark.mllib.featureApache Spark
StandardScalerModelRepresents a StandardScaler model that can transform vectors.Classorg.apache.spark.mllib.featureApache Spark
VectorTransformerInterfaceorg.apache.spark.mllib.featureApache Spark
VocabWordClassorg.apache.spark.mllib.featureApache Spark
Word2VecClassorg.apache.spark.mllib.featureApache Spark
Word2VecModelClassorg.apache.spark.mllib.featureApache Spark