R: Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values

# Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values

## Documentation for package ‘tsLSTMx’ version 0.1.0

- DESCRIPTION file

## Help Pages

best_model_on_validation | Evaluate the best LSTM model on the validation set
check_and_format_data | Check and Format Data
compare_predicted_vs_actual | Compare predicted and actual values for training and validation sets
convert_to_numeric_matrices | Function to convert columns to numeric matrices
convert_to_tensors | Function to convert data to TensorFlow tensors
define_early_stopping | Function to define early stopping callback
embed_columns | Embed columns and create a new data frame
forecast_best_model | Perform forecasting using the best model
initialize_tensorflow | Function to initialize TensorFlow and enable eager execution
predict_y_values | Predict y values for the training and validation sets using the best LSTM model
reshape_for_lstm | Function to reshape input data for LSTM
split_data | Split data into training and validation sets
ts_lstm_x_tuning | Time Series LSTM Hyperparameter Tuning