Interface | Description |
---|---|
VectorTransformer |
:: DeveloperApi ::
Trait for transformation of a vector
|
Class | Description |
---|---|
ChiSqSelector |
Creates a ChiSquared feature selector.
|
ChiSqSelectorModel |
Chi Squared selector model.
|
ChiSqSelectorModel.SaveLoadV1_0$ | |
ElementwiseProduct |
Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a
provided "weight" vector.
|
HashingTF |
Maps a sequence of terms to their term frequencies using the hashing trick.
|
IDF |
Inverse document frequency (IDF).
|
IDF.DocumentFrequencyAggregator |
Document frequency aggregator.
|
IDFModel |
Represents an IDF model that can transform term frequency vectors.
|
Normalizer |
Normalizes samples individually to unit L^p^ norm
|
PCA |
A feature transformer that projects vectors to a low-dimensional space using PCA.
|
PCAModel |
Model fitted by
PCA that can project vectors to a low-dimensional space using PCA. |
PCAUtil | |
StandardScaler |
Standardizes features by removing the mean and scaling to unit std using column summary
statistics on the samples in the training set.
|
StandardScalerModel |
Represents a StandardScaler model that can transform vectors.
|
VocabWord |
Entry in vocabulary
|
Word2Vec |
Word2Vec creates vector representation of words in a text corpus.
|
Word2VecModel |
Word2Vec model
param: wordIndex maps each word to an index, which can retrieve the corresponding
vector from wordVectors
param: wordVectors array of length numWords * vectorSize, vector corresponding
to the word mapped with index i can be retrieved by the slice
(i * vectorSize, i * vectorSize + vectorSize)
|