TSLSTM

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

v0.1.0 · Jan 13, 2022 · GPL-3

Description

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>.

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14 OK

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	122.5s
r-devel-linux-x86_64-debian-gcc	OK	90.6s
r-devel-linux-x86_64-fedora-clang	OK	189.2s
r-devel-linux-x86_64-fedora-gcc	OK	181.6s
r-devel-macos-arm64	OK	32s
r-devel-windows-x86_64	OK	120s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	66s
r-oldrel-windows-x86_64	OK	160s
r-patched-linux-x86_64	OK	116.3s
r-release-linux-x86_64	OK	114.2s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	94s
r-release-windows-x86_64	OK	121s

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

imports

WaveletLSTM

Dependency Network

Version History

new 0.1.0 Mar 10, 2026