gavindiaz/drift
1
0
Fork 0
mirror of https://github.com/webclinic017/drift.git synced 2026-08-15 03:48:09 +00:00
Code Issues Packages Projects Releases Wiki Activity

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

Browse Source 
* 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>
This commit is contained in:
Daniel Szemerey
2022-01-11 19:15:58 +01:00
committed by GitHub
co-authored by Daniel Szemerey
parent 255910cb40
commit 55f083638f
9 changed files with 210 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files
run_evaluate_robustness.py
+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)