Skipgram

public final class Skipgram

Parses a text file and creates a batch of examples.

class Skipgram.Options Optional attributes for Skipgram

static Skipgram	create ( Scope scope, String filename, Long batchSize, Options... options) Factory method to create a class wrapping a new Skipgram operation.
Output <Integer>	currentEpoch () The current epoch number.
Output <Integer>	examples () A vector of word ids.
Output <Integer>	labels () A vector of word ids.
static Skipgram.Options	minCount (Long minCount)
static Skipgram.Options	subsample (Float subsample)
Output <Long>	totalWordsProcessed () The total number of words processed so far.
Output <Integer>	vocabFreq () Frequencies of words.
Output <String>	vocabWord () A vector of words in the corpus.
static Skipgram.Options	windowSize (Long windowSize)
Output <Long>	wordsPerEpoch () Number of words per epoch in the data file.

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying `Operation`
final String	toString ()

From class java.lang.Object

Public Methods

Factory method to create a class wrapping a new Skipgram operation.

scope	current scope
filename	The corpus's text file name.
batchSize	The size of produced batch.
options	carries optional attributes values

The current epoch number.

A vector of word ids.

A vector of word ids.

minCount	The minimum number of word occurrences for it to be included in the vocabulary.

subsample	Threshold for word occurrence. Words that appear with higher frequency will be randomly down-sampled. Set to 0 to disable.

The total number of words processed so far.

Frequencies of words. Sorted in the non-ascending order.

A vector of words in the corpus.

windowSize	The number of words to predict to the left and right of the target.

Number of words per epoch in the data file.