org.deeplearning4j.util

Class TimeSeriesUtils

java.lang.Object

org.deeplearning4j.util.TimeSeriesUtils

public class TimeSeriesUtils
extends Object

Basic time series utils

Author:

Adam Gibson

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