feat(Inference): pipeline wired up (#171)

* feat: Basic pipeline extended.

* feat: Added conversion of model list to existing structure (model_name, model_in_time). Fixed loading of previous models and dicts.

* fix: Had an unfinished function.

* fix: Inference wasn't getting model_over_time. Now transformations are not getting it either yet.

Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>
This commit is contained in:
Mark Aron Szulyovszky
2022-01-14 10:34:28 +01:00
committed by GitHub
co-authored by Daniel Szemerey
parent 4aefba33ea
commit 797d45d036
9 changed files with 89 additions and 77 deletions
+1 -1
View File
@@ -5,7 +5,7 @@ import pandas as pd
all_results = []
all_predictions = []
for index in range(6):
_, _, _, results_1, predictions_1, _ = run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config= get_default_ensemble_config)
_, _, _, _, results_1, predictions_1, _ = run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config= get_default_ensemble_config)
all_results.append(results_1)
all_predictions.append(predictions_1)