API for thfuchs/tsRNN
Time Series Forecasting using Recurrent Neural Networks by Keras
| Global functions | |
|---|---|
| DT_apple | Man page |
| acd | Man page Source code |
| add_diffs | Source code |
| add_growth_rates | Source code |
| add_shift | Source code |
| baselines | Man page Source code |
| check_acf | Man page Source code |
| check_cv_setting | Source code |
| check_data_structure | Source code |
| cv_arima | Man page Source code |
| cv_baselines | Man page Source code |
| dow30 | Man page |
| dow30_clean | Man page |
| fc_arima | Man page |
| fc_baseline | Man page |
| internal_keras_fun | Source code |
| keras_rnn | Man page Source code |
| mape | Man page Source code |
| mase | Man page Source code |
| parse_tf_version | Man page Source code |
| plot_baselines | Man page Source code |
| plot_baselines_samples | Man page Source code |
| plot_prediction | Man page Source code |
| plot_prediction_samples | Man page Source code |
| py_dropout_model | Man page Source code |
| smape | Man page Source code |
| smis | Man page Source code |
| ts_apple | Man page |
| ts_nn_preparation | Man page Source code |
| ts_normalization | Man page Source code |
| tune_keras_rnn_bayesoptim | Man page Source code |
| tune_keras_rnn_eval | Man page Source code |
| tune_keras_rnn_predict | Man page Source code |
