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LSTMfactors (version 1.0.0)

data.scaler.LSTM: the Scaler for the Pre-Trained Long Short Term Memory (LSTM) Network

Description

This dataset contains the means and standard deviations of the 1,000,000 datasets for training the Long Short Term Memory (LSTM) Network, which can be used to determine the number of factors.

Arguments

Format

A list containing two vectors, each of length 20:

means

A numeric vector representing the means of the 20 features extracted from the 1,000,000 datasets.

sds

A numeric vector representing the standard deviations of the 20 features extracted from the 1,000,000 datasets.

See Also

LSTM, load.scaler, data.datasets.LSTM, normalizor

Examples

Run this code
data(data.scaler.LSTM)
print(data.scaler.LSTM)

data.scaler <- load.scaler()
print(data.scaler)

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