Package org.deeplearning4j.text.movingwindow

Class WindowConverter

java.lang.Object

org.deeplearning4j.text.movingwindow.WindowConverter

public class WindowConverter
extends Object

Method Summary

Modifier and Type	Method	Description
static org.nd4j.linalg.api.ndarray.INDArray	asExampleArray(Window window, Word2Vec vec, boolean normalize)	Converts a window (each word in the window) in to a vector.
static org.nd4j.linalg.api.ndarray.INDArray	asExampleMatrix(Window window, Word2Vec vec)	Converts a window (each word in the window) in to a vector.

Methods inherited from class java.lang.Object

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

Method Detail

asExampleArray

public static org.nd4j.linalg.api.ndarray.INDArray asExampleArray(Window window,
                                                                  Word2Vec vec,
                                                                  boolean normalize)

Converts a window (each word in the window) in to a vector. Keep in mind each window is a multi word context. From there, each word uses the passed in model as a lookup table to get what vectors are relevant to the passed in windows

Parameters:

window - the window to take in.

vec - the model to use as a lookup table

Returns:

a concacneated 1 row array containing all of the numbers for each word in the window

asExampleMatrix

public static org.nd4j.linalg.api.ndarray.INDArray asExampleMatrix(Window window,
                                                                   Word2Vec vec)

Converts a window (each word in the window) in to a vector. Keep in mind each window is a multi word context. From there, each word uses the passed in model as a lookup table to get what vectors are relevant to the passed in windows

Parameters:

window - the window to take in.

vec - the model to use as a lookup table

Returns:

a concatneated 1 row array containing all of the numbers for each word in the window