Daniel Szemerey 55f083638f feature(Inference): Created the inference process, added model saving. (#153) ...

* feat: Basic scaffolding up for inference process after training.

* feat: Saving and loading models works. Inference works nearly.

* feat: Added inference pipeline.

* feat: Saving model now accoring to date and time; loading models now selects from latest file. Fixed the creation of dictionary of models.

* feat: Added lightweight asset config, but full pipeline.

* feat: Added new naming for dictionary.

* fix: Fixed dictionary naming convention.

* fix: Fixed naming again, now the model structure is good

* fix: Changed the output path and the return values from run_pipeline.

* feat: Added function to make sure folder exists for output models.

Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>

2022-01-11 19:15:58 +01:00

..

config.py

feature(Inference): Created the inference process, added model saving. (#153)

2022-01-11 19:15:58 +01:00

hashing.py

feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105)

2022-01-04 11:44:35 +01:00

preprocess.py

refactor(Naming): use new convention, added Ensemble model parameter back, support multiple Meta-Labeling models (#132)

2022-01-09 17:21:06 +01:00