Package org.deeplearning4j.bagofwords.vectorizer

Interface TextVectorizer

All Superinterfaces:

Serializable, Vectorizer

All Known Implementing Classes:

BagOfWordsVectorizer, BaseTextVectorizer, TfidfVectorizer

public interface TextVectorizer
extends Vectorizer

Method Summary

Modifier and Type	Method	Description
void	fit()	Train the model
InvertedIndex<VocabWord>	getIndex()	Inverted index
VocabCache<VocabWord>	getVocabCache()	The vocab sorted in descending order
long	numWordsEncountered()	Returns the number of words encountered so far
org.nd4j.linalg.api.ndarray.INDArray	transform(String text)	Transforms the matrix
org.nd4j.linalg.api.ndarray.INDArray	transform(List<String> tokens)	Transforms the matrix
org.nd4j.linalg.dataset.DataSet	vectorize(File input, String label)
org.nd4j.linalg.dataset.DataSet	vectorize(InputStream is, String label)	Text coming from an input stream considered as one document
org.nd4j.linalg.dataset.DataSet	vectorize(String text, String label)	Vectorizes the passed in text treating it as one document

Methods inherited from interface org.deeplearning4j.core.datasets.vectorizer.Vectorizer

vectorize

Method Detail

getVocabCache

VocabCache<VocabWord> getVocabCache()

The vocab sorted in descending order

Returns:

the vocab sorted in descending order

vectorize

org.nd4j.linalg.dataset.DataSet vectorize(InputStream is,
                                          String label)

Text coming from an input stream considered as one document

Parameters:

is - the input stream to read from

label - the label to assign

Returns:

a dataset with a applyTransformToDestination of weights(relative to impl; could be word counts or tfidf scores)

vectorize

org.nd4j.linalg.dataset.DataSet vectorize(String text,
                                          String label)

Vectorizes the passed in text treating it as one document

Parameters:

text - the text to vectorize

label - the label of the text

Returns:

a dataset with a transform of weights(relative to impl; could be word counts or tfidf scores)

fit

void fit()

Train the model

vectorize

org.nd4j.linalg.dataset.DataSet vectorize(File input,
                                          String label)

Parameters:

input - the text to vectorize

label - the label of the text

Returns:

DataSet with a applyTransformToDestination of weights(relative to impl; could be word counts or tfidf scores)

transform

org.nd4j.linalg.api.ndarray.INDArray transform(String text)

Transforms the matrix

Parameters:

text - text to transform

Returns:

INDArray

transform

org.nd4j.linalg.api.ndarray.INDArray transform(List<String> tokens)

Transforms the matrix

Parameters:

tokens -

Returns:

numWordsEncountered

long numWordsEncountered()

Returns the number of words encountered so far

Returns:

the number of words encountered so far

getIndex

InvertedIndex<VocabWord> getIndex()

Inverted index

Returns:

the inverted index for this vectorizer