CRAN/E | TSLSTM

TSLSTM

Long Short Term Memory (LSTM) Model for Time Series Forecasting

Installation

About

The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Min-Max transformation has been used for data preparation. Here, we have used one LSTM layer as a simple LSTM model and a Dense layer is used as the output layer. Then, compile the model using the loss function, optimizer and metrics. This package is based on Keras and TensorFlow modules and the algorithm of Paul and Garai (2021) doi:10.1007/s00500-021-06087-4.

Key Metrics

Version 0.1.0
Published 2022-01-13 806 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Dr. Ranjit Kumar Paul

ranjitstat@gmail.com

Authors

Dr. Ranjit Kumar Paul

aut / cre

Dr. Md Yeasin

aut

Material

Reference manual
Package source

In Views

TimeSeries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

keras
tensorflow
tsutils
stats