TSLSTM

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

CRAN Package

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.

  • Version0.1.0
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release01/13/2022

Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports3 packages
  • Reverse Imports1 package