Name | Description | Type | Package | Framework |
ChiSqSelector | Class | org.apache.spark.mllib.feature | Apache Spark | |
ChiSqSelectorModel | Chi Squared selector model. | Class | org.apache.spark.mllib.feature | Apache Spark |
ElementwiseProduct | Outputs the Hadamard product (i. | Class | org.apache.spark.mllib.feature | Apache Spark |
HashingTF | Maps a sequence of terms to their term frequencies using the hashing trick. | Class | org.apache.spark.mllib.feature | Apache Spark |
IDF | Inverse document frequency (IDF). | Class | org.apache.spark.mllib.feature | Apache Spark |
IDF .DocumentFrequencyAggregator | Document frequency aggregator. | Class | org.apache.spark.mllib.feature.IDF | Apache Spark |
IDFModel | Represents an IDF model that can transform term frequency vectors. | Class | org.apache.spark.mllib.feature | Apache Spark |
Normalizer | Normalizes samples individually to unit L^p^ norm For any 1 <= p < Double. | Class | org.apache.spark.mllib.feature | Apache Spark |
PCA | A feature transformer that projects vectors to a low-dimensional space using PCA. | Class | org.apache.spark.mllib.feature | Apache Spark |
PCAModel | Model fitted by PCA that can project vectors to a low-dimensional space using PCA. | Class | org.apache.spark.mllib.feature | Apache Spark |
StandardScaler | Standardizes features by removing the mean and scaling to unit std using column summary statistics on the samples in the training set. | Class | org.apache.spark.mllib.feature | Apache Spark |
StandardScalerModel | Represents a StandardScaler model that can transform vectors. | Class | org.apache.spark.mllib.feature | Apache Spark |
VectorTransformer | Interface | org.apache.spark.mllib.feature | Apache Spark | |
VocabWord | Class | org.apache.spark.mllib.feature | Apache Spark | |
Word2Vec | Class | org.apache.spark.mllib.feature | Apache Spark | |
Word2VecModel | Class | org.apache.spark.mllib.feature | Apache Spark | |