org.deeplearning4j.util

Class TimeSeriesUtils

java.lang.Object

org.deeplearning4j.util.TimeSeriesUtils

public class TimeSeriesUtils
extends java.lang.Object

Basic time series utils

Method Summary

Modifier and Type	Method and Description
static org.nd4j.linalg.api.ndarray.INDArray	movingAverage(org.nd4j.linalg.api.ndarray.INDArray toAvg, int n) Calculate a moving average given the length
static org.nd4j.linalg.api.ndarray.INDArray	reshape2dTo3d(org.nd4j.linalg.api.ndarray.INDArray in, int miniBatchSize)
static org.nd4j.linalg.api.ndarray.INDArray	reshape3dTo2d(org.nd4j.linalg.api.ndarray.INDArray in)
static org.nd4j.linalg.api.ndarray.INDArray	reshapePerOutputTimeSeriesMaskTo2d(org.nd4j.linalg.api.ndarray.INDArray perOutputTimeSeriesMask)
static org.nd4j.linalg.api.ndarray.INDArray	reshapeTimeSeriesMaskToVector(org.nd4j.linalg.api.ndarray.INDArray timeSeriesMask) Reshape time series mask arrays.
static org.nd4j.linalg.api.ndarray.INDArray	reshapeVectorToTimeSeriesMask(org.nd4j.linalg.api.ndarray.INDArray timeSeriesMaskAsVector, int minibatchSize) Reshape time series mask arrays.

Methods inherited from class java.lang.Object

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

Method Detail

movingAverage

public static org.nd4j.linalg.api.ndarray.INDArray movingAverage(org.nd4j.linalg.api.ndarray.INDArray toAvg,
                                                                 int n)

Calculate a moving average given the length

Parameters:

toAvg - the array to average

n - the length of the moving window

Returns:

the moving averages for each row

reshapeTimeSeriesMaskToVector

public static org.nd4j.linalg.api.ndarray.INDArray reshapeTimeSeriesMaskToVector(org.nd4j.linalg.api.ndarray.INDArray timeSeriesMask)

Reshape time series mask arrays. This should match the assumptions (f order, etc) in RnnOutputLayer

Parameters:

timeSeriesMask - Mask array to reshape to a column vector

Returns:

Mask array as a column vector

reshapeVectorToTimeSeriesMask

public static org.nd4j.linalg.api.ndarray.INDArray reshapeVectorToTimeSeriesMask(org.nd4j.linalg.api.ndarray.INDArray timeSeriesMaskAsVector,
                                                                                 int minibatchSize)

Reshape time series mask arrays. This should match the assumptions (f order, etc) in RnnOutputLayer

Parameters:

timeSeriesMaskAsVector - Mask array to reshape to a column vector

Returns:

Mask array as a column vector

reshapePerOutputTimeSeriesMaskTo2d

public static org.nd4j.linalg.api.ndarray.INDArray reshapePerOutputTimeSeriesMaskTo2d(org.nd4j.linalg.api.ndarray.INDArray perOutputTimeSeriesMask)

reshape3dTo2d

public static org.nd4j.linalg.api.ndarray.INDArray reshape3dTo2d(org.nd4j.linalg.api.ndarray.INDArray in)

reshape2dTo3d

public static org.nd4j.linalg.api.ndarray.INDArray reshape2dTo3d(org.nd4j.linalg.api.ndarray.INDArray in,
                                                                 int miniBatchSize)