Officially migrated to Lightning/Hydra

[kaylode]

[x] Merged lightning-hydra branch

[github-actions]

Semantic Report

Metrics

precision	recall	dice	iters
0.40049	1	0.57187	0

Prediction

[github-actions]

Classification Report

Metrics

acc	bl_acc	weighted-f1	iters
0.25	0.25	0.2	0

Confusion Matrix

Errorcases

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_optimizer.args.lr	best_key	model_name	state
0	1	1699095099424	1699095132693	33268	0.0009116291	bl_acc	efficientnet_b0	COMPLETE
1	1	1699095132694	1699095166069	33374	0.0009352849	bl_acc	efficientnet_b0	COMPLETE

[github-actions]

Tabular Classification Report

Metrics

SHAP train

SHAP val

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_gamma	params_learning_rate	params_max_depth	params_n_estimators	params_reg_alpha	params_reg_lambda	best_key	model_name	state
0	0.8020602957	1699095172593	1699095172842	248	0.7717711276	0.5645333472	6	203	0.6377548096	0.7241479071	bl_acc	xgboost	COMPLETE
1	0.8037481085	1699095172844	1699095173085	240	0.5975480751	0.612790565	5	418	0.7496117914	0.9779177868	bl_acc	xgboost	COMPLETE
2	0.7660924223	1699095173087	1699095173344	257	0.7802103743	0.1038384783	2	197	0.2519767276	0.7134136425	bl_acc	xgboost	COMPLETE

Figures

[github-actions]

Tabular Classification Report

Metrics

SHAP train

SHAP val

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_gamma	params_learning_rate	params_max_depth	params_n_estimators	params_reg_alpha	params_reg_lambda	best_key	model_name	state
0	0.7908858107	1699141972499	1699141972942	443	0.3255484419	0.0499540106	9	199	0.4811185007	0.3807288445	bl_acc	xgboost	COMPLETE
1	0.8037481085	1699141972944	1699141973266	322	0.6385676179	0.1545606133	9	414	0.3023023033	0.3843491607	bl_acc	xgboost	COMPLETE
2	0.7668490281	1699141973268	1699141973522	254	0.9492101251	0.2633439512	5	258	0.0741836225	0.6649012209	bl_acc	xgboost	COMPLETE

Figures

[github-actions]

Classification Report

Metrics

acc	bl_acc	weighted-f1	iters
0.25	0.25	0.2	0

Confusion Matrix

Errorcases

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_optimizer.args.lr	best_key	model_name	state
0	1	1699141938413	1699141972332	33919	0.0009171372	bl_acc	efficientnet_b0	COMPLETE
1	0.75	1699141972333	1699142005784	33451	0.0005833412	bl_acc	efficientnet_b0	COMPLETE

[github-actions]

Semantic Report

Metrics

precision	recall	dice	iters
0.40059	1	0.57197	0

Prediction