Package org.deeplearning4j.models.fasttext

Class FastText

java.lang.Object

org.deeplearning4j.models.fasttext.FastText

All Implemented Interfaces:

Serializable, WordVectors, org.deeplearning4j.nn.weights.embeddings.EmbeddingInitializer

public class FastText
extends Object
implements WordVectors, Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
FastText()
FastText(File modelPath)

Method Summary

Modifier and Type	Method	Description
Map<String,Double>	accuracy(List<String> questions)	Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
void	fit()
int	getContextWindowSize()
int	getDimension()
int	getEpoch()
String	getLabelPrefix()
double	getLearningRate()
String	getLossName()
String	getModelName()
int	getNegativesNumber()
int	getNumberOfBuckets()
String	getUNK()
int	getWordNgrams()
double[]	getWordVector(String word)	Get the word vector for a given matrix
org.nd4j.linalg.api.ndarray.INDArray	getWordVectorMatrix(String word)	Get the word vector for a given matrix
org.nd4j.linalg.api.ndarray.INDArray	getWordVectorMatrixNormalized(String word)	Returns the word vector divided by the norm2 of the array
org.nd4j.linalg.api.ndarray.INDArray	getWordVectors(Collection<String> labels)	This method returns 2D array, where each row represents corresponding word/label
org.nd4j.linalg.api.ndarray.INDArray	getWordVectorsMean(Collection<String> labels)	This method returns mean vector, built from words/labels passed in
boolean	hasWord(String word)	Returns true if the model has this word in the vocab
int	indexOf(String word)
boolean	jsonSerializable()
void	loadBinaryModel(String modelPath)
void	loadIterator()
void	loadPretrainedVectors(File vectorsFile)
void	loadWeightsInto(org.nd4j.linalg.api.ndarray.INDArray array)
WeightLookupTable	lookupTable()	Lookup table for the vectors
boolean	outOfVocabularySupported()	Does implementation vectorize words absent in vocabulary
String	predict(String text)
org.nd4j.common.primitives.Pair<String,Float>	predictProbability(String text)
void	setModelUtils(ModelUtils utils)	Specifies ModelUtils to be used to access model
void	setUNK(String input)
double	similarity(String word, String word2)	Returns the similarity of 2 words
List<String>	similarWordsInVocabTo(String word, double accuracy)	Find all words with a similar characters in the vocab
void	test(File testFile)
void	unloadBinaryModel()
int	vectorSize()
VocabCache	vocab()	Vocab for the vectors
long	vocabSize()
Collection<String>	wordsNearest(String word, int n)	Get the top n words most similar to the given word
Collection<String>	wordsNearest(Collection<String> positive, Collection<String> negative, int top)	Words nearest based on positive and negative words
Collection<String>	wordsNearest(org.nd4j.linalg.api.ndarray.INDArray words, int top)
Collection<String>	wordsNearestSum(String word, int n)	Get the top n words most similar to the given word
Collection<String>	wordsNearestSum(Collection<String> positive, Collection<String> negative, int top)	Words nearest based on positive and negative words
Collection<String>	wordsNearestSum(org.nd4j.linalg.api.ndarray.INDArray words, int top)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FastText

public FastText(File modelPath)

FastText

public FastText()

Method Detail

fit

public void fit()

loadIterator

public void loadIterator()

loadPretrainedVectors

public void loadPretrainedVectors(File vectorsFile)

loadBinaryModel

public void loadBinaryModel(String modelPath)

unloadBinaryModel

public void unloadBinaryModel()

test

public void test(File testFile)

predict

public String predict(String text)

predictProbability

public org.nd4j.common.primitives.Pair<String,Float> predictProbability(String text)

vocab

public VocabCache vocab()

Description copied from interface: WordVectors

Vocab for the vectors

Specified by:

vocab in interface WordVectors

Returns:

vocabSize

public long vocabSize()

Specified by:

vocabSize in interface org.deeplearning4j.nn.weights.embeddings.EmbeddingInitializer

getUNK

public String getUNK()

Specified by:

getUNK in interface WordVectors

setUNK

public void setUNK(String input)

Specified by:

setUNK in interface WordVectors

getWordVector

public double[] getWordVector(String word)

Description copied from interface: WordVectors

Get the word vector for a given matrix

Specified by:

getWordVector in interface WordVectors

Parameters:

word - the word to get the matrix for

Returns:

the ndarray for this word

getWordVectorMatrixNormalized

public org.nd4j.linalg.api.ndarray.INDArray getWordVectorMatrixNormalized(String word)

Description copied from interface: WordVectors

Returns the word vector divided by the norm2 of the array

Specified by:

getWordVectorMatrixNormalized in interface WordVectors

Parameters:

word - the word to get the matrix for

Returns:

the looked up matrix

getWordVectorMatrix

public org.nd4j.linalg.api.ndarray.INDArray getWordVectorMatrix(String word)

Description copied from interface: WordVectors

Get the word vector for a given matrix

Specified by:

getWordVectorMatrix in interface WordVectors

Parameters:

word - the word to get the matrix for

Returns:

the ndarray for this word

getWordVectors

public org.nd4j.linalg.api.ndarray.INDArray getWordVectors(Collection<String> labels)

Description copied from interface: WordVectors

This method returns 2D array, where each row represents corresponding word/label

Specified by:

getWordVectors in interface WordVectors

Returns:

getWordVectorsMean

public org.nd4j.linalg.api.ndarray.INDArray getWordVectorsMean(Collection<String> labels)

Description copied from interface: WordVectors

This method returns mean vector, built from words/labels passed in

Specified by:

getWordVectorsMean in interface WordVectors

Returns:

hasWord

public boolean hasWord(String word)

Description copied from interface: WordVectors

Returns true if the model has this word in the vocab

Specified by:

hasWord in interface WordVectors

Parameters:

word - the word to test for

Returns:

true if the model has the word in the vocab

wordsNearest

public Collection<String> wordsNearest(org.nd4j.linalg.api.ndarray.INDArray words,
                                       int top)

Specified by:

wordsNearest in interface WordVectors

wordsNearestSum

public Collection<String> wordsNearestSum(org.nd4j.linalg.api.ndarray.INDArray words,
                                          int top)

Specified by:

wordsNearestSum in interface WordVectors

wordsNearestSum

public Collection<String> wordsNearestSum(String word,
                                          int n)

Description copied from interface: WordVectors

Get the top n words most similar to the given word

Specified by:

wordsNearestSum in interface WordVectors

Parameters:

word - the word to compare

n - the n to get

Returns:

the top n words

wordsNearestSum

public Collection<String> wordsNearestSum(Collection<String> positive,
                                          Collection<String> negative,
                                          int top)

Description copied from interface: WordVectors

Words nearest based on positive and negative words

Specified by:

wordsNearestSum in interface WordVectors

Parameters:

positive - the positive words

negative - the negative words

top - the top n words

Returns:

the words nearest the mean of the words

accuracy

public Map<String,Double> accuracy(List<String> questions)

Description copied from interface: WordVectors

Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest

Specified by:

accuracy in interface WordVectors

Parameters:

questions - the questions to ask

Returns:

the accuracy based on these questions

indexOf

public int indexOf(String word)

Specified by:

indexOf in interface WordVectors

similarWordsInVocabTo

public List<String> similarWordsInVocabTo(String word,
                                          double accuracy)

Description copied from interface: WordVectors

Find all words with a similar characters in the vocab

Specified by:

similarWordsInVocabTo in interface WordVectors

Parameters:

word - the word to compare

accuracy - the accuracy: 0 to 1

Returns:

the list of words that are similar in the vocab

wordsNearest

public Collection<String> wordsNearest(Collection<String> positive,
                                       Collection<String> negative,
                                       int top)

Description copied from interface: WordVectors

Words nearest based on positive and negative words

Specified by:

wordsNearest in interface WordVectors

Parameters:

positive - the positive words

negative - the negative words

top - the top n words

Returns:

the words nearest the mean of the words

wordsNearest

public Collection<String> wordsNearest(String word,
                                       int n)

Description copied from interface: WordVectors

Get the top n words most similar to the given word

Specified by:

wordsNearest in interface WordVectors

Parameters:

word - the word to compare

n - the n to get

Returns:

the top n words

similarity

public double similarity(String word,
                         String word2)

Description copied from interface: WordVectors

Returns the similarity of 2 words

Specified by:

similarity in interface WordVectors

Parameters:

word - the first word

word2 - the second word

Returns:

a normalized similarity (cosine similarity)

lookupTable

public WeightLookupTable lookupTable()

Description copied from interface: WordVectors

Lookup table for the vectors

Specified by:

lookupTable in interface WordVectors

Returns:

setModelUtils

public void setModelUtils(ModelUtils utils)

Description copied from interface: WordVectors

Specifies ModelUtils to be used to access model

Specified by:

setModelUtils in interface WordVectors

loadWeightsInto

public void loadWeightsInto(org.nd4j.linalg.api.ndarray.INDArray array)

Specified by:

loadWeightsInto in interface org.deeplearning4j.nn.weights.embeddings.EmbeddingInitializer

vectorSize

public int vectorSize()

Specified by:

vectorSize in interface org.deeplearning4j.nn.weights.embeddings.EmbeddingInitializer

jsonSerializable

public boolean jsonSerializable()

Specified by:

jsonSerializable in interface org.deeplearning4j.nn.weights.embeddings.EmbeddingInitializer

getLearningRate

public double getLearningRate()

getDimension

public int getDimension()

getContextWindowSize

public int getContextWindowSize()

getEpoch

public int getEpoch()

getNegativesNumber

public int getNegativesNumber()

getWordNgrams

public int getWordNgrams()

getLossName

public String getLossName()

getModelName

public String getModelName()

getNumberOfBuckets

public int getNumberOfBuckets()

getLabelPrefix

public String getLabelPrefix()

outOfVocabularySupported

public boolean outOfVocabularySupported()

Description copied from interface: WordVectors

Does implementation vectorize words absent in vocabulary

Specified by:

outOfVocabularySupported in interface WordVectors

Returns:

boolean