- chore!: changed from temp library keras_core to keras > 3.0.0 - chore!: removed python 3.8 support to accomodate tensorflow and keras dependiencies - chore: increased major to 3.0.0 to align with keras major - feat: added evaluate_model method to test model performance on test data - refactor!: removed validation split from `fit_model`. Control validation and test split via evaluation_split and validation_split paramters in class variables
2.1.0
- feat!: removed data preparation out of predictor class, sub_seq, steps_past, steps_future need now to be defined in each model method - allows for advanced hyper parameter tuning - fix: removed tensor board activation logic bug
2.0.1
- fix: removed dead pandas imports - chore: added tensorflow as base requirement
2.0.0
- adapted `keras` - removed internal hyperparameter tuning - removed encoder-decoder architectures - improved layer configuration via dictionary input - split data argument into target and feature numpy arrays
1.3.0
- added depth parameter to architectures - added optimizer configuration support - added optimizer configuration to seeker
1.2.0
- added Tensorboard support - changed show_performance plot to show loss and metric values - added optional dropout and regularization layers to architectures