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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/VectorTransformer.html" title="interface in org.apache.spark.mllib.feature">VectorTransformer</a></td>
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<div class="block">:: DeveloperApi ::
Trait for transformation of a vector</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/ChiSqSelector.html" title="class in org.apache.spark.mllib.feature">ChiSqSelector</a></td>
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<div class="block">:: Experimental ::
Creates a ChiSquared feature selector.</div>
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<div class="block">:: Experimental ::
Chi Squared selector model.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/ElementwiseProduct.html" title="class in org.apache.spark.mllib.feature">ElementwiseProduct</a></td>
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<div class="block">:: Experimental ::
Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a
provided "weight" vector.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/HashingTF.html" title="class in org.apache.spark.mllib.feature">HashingTF</a></td>
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<div class="block">:: Experimental ::
Maps a sequence of terms to their term frequencies using the hashing trick.</div>
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<div class="block">:: Experimental ::
Inverse document frequency (IDF).</div>
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<div class="block">Document frequency aggregator.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/IDFModel.html" title="class in org.apache.spark.mllib.feature">IDFModel</a></td>
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<div class="block">:: Experimental ::
Represents an IDF model that can transform term frequency vectors.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/Normalizer.html" title="class in org.apache.spark.mllib.feature">Normalizer</a></td>
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<div class="block">:: Experimental ::
Normalizes samples individually to unit L^p^ norm</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/PCA.html" title="class in org.apache.spark.mllib.feature">PCA</a></td>
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<div class="block">A feature transformer that projects vectors to a low-dimensional space using PCA.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/PCAModel.html" title="class in org.apache.spark.mllib.feature">PCAModel</a></td>
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<div class="block">Model fitted by <a href="../../../../../org/apache/spark/mllib/feature/PCA.html" title="class in org.apache.spark.mllib.feature"><code>PCA</code></a> that can project vectors to a low-dimensional space using PCA.</div>
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<div class="block">:: Experimental ::
Standardizes features by removing the mean and scaling to unit std using column summary
statistics on the samples in the training set.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/StandardScalerModel.html" title="class in org.apache.spark.mllib.feature">StandardScalerModel</a></td>
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<div class="block">:: Experimental ::
Represents a StandardScaler model that can transform vectors.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/VocabWord.html" title="class in org.apache.spark.mllib.feature">VocabWord</a></td>
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<div class="block">Entry in vocabulary</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/Word2Vec.html" title="class in org.apache.spark.mllib.feature">Word2Vec</a></td>
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<div class="block">:: Experimental ::
Word2Vec creates vector representation of words in a text corpus.</div>
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<td class="colFirst"><a href="../../../../../org/apache/spark/mllib/feature/Word2VecModel.html" title="class in org.apache.spark.mllib.feature">Word2VecModel</a></td>
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<div class="block">:: Experimental ::
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
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