|
Class Summary |
| ChiSqSelector |
:: Experimental ::
Creates a ChiSquared feature selector. |
| ChiSqSelectorModel |
:: Experimental ::
Chi Squared selector model. |
| 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 ::
Inverse document frequency (IDF). |
| IDF.DocumentFrequencyAggregator |
Document frequency aggregator. |
| IDFModel |
:: Experimental ::
Represents an IDF model that can transform term frequency vectors. |
| Normalizer |
:: Experimental ::
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. |
| StandardScaler |
:: Experimental ::
Standardizes features by removing the mean and scaling to unit std using column summary
statistics on the samples in the training set. |
| StandardScalerModel |
:: Experimental ::
Represents a StandardScaler model that can transform vectors. |
| VocabWord |
Entry in vocabulary |
| Word2Vec |
|
| Word2VecModel |
:: Experimental ::
Word2Vec model |