Mercurial > repos > goeckslab > ludwig_train
view test-data/temperature_hyperopt_statistics.json @ 0:f0be10937f5c draft default tip
planemo upload for repository https://github.com/goeckslab/Galaxy-Ludwig.git commit bdea9430787658783a51cc6c2ae951a01e455bb4
author | goeckslab |
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date | Tue, 07 Jan 2025 22:44:09 +0000 |
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{ "hyperopt_config": { "executor": { "num_samples": 2, "type": "ray" }, "goal": "minimize", "metric": "loss", "output_feature": "combined", "parameters": { "trainer.learning_rate": { "lower": 0.0001, "space": "uniform", "upper": 0.1 } }, "search_alg": { "random_state": 42, "type": "random" }, "split": "validation" }, "hyperopt_results": [ { "eval_stats": { "combined": { "loss": 0.053195301443338394 }, "temperature": { "loss": 0.053407300263643265, "mean_absolute_error": 0.14618726074695587, "mean_squared_error": 0.05340731143951416, "r2": 0.9475131630897522, "root_mean_squared_error": 0.23110021650791168, "root_mean_squared_percentage_error": 4.772668361663818 } }, "metric_score": 0.053195301443338394, "parameters": { "trainer.learning_rate": 0.04394395613123003 }, "training_stats": { "test": { "combined": { "loss": [ 0.05267306789755821 ] }, "temperature": { "loss": [ 0.05264146253466606 ], "mean_absolute_error": [ 0.14691536128520966 ], "mean_squared_error": [ 0.052641451358795166 ], "r2": [ 0.9478765726089478 ], "root_mean_squared_error": [ 0.22943724691867828 ], "root_mean_squared_percentage_error": [ 6.454731464385986 ] } }, "training": { "combined": { "loss": [ 0.052854184061288834 ] }, "temperature": { "loss": [ 0.052901823073625565 ], "mean_absolute_error": [ 0.14576640725135803 ], "mean_squared_error": [ 0.05290185287594795 ], "r2": [ 0.9468033909797668 ], "root_mean_squared_error": [ 0.23000402748584747 ], "root_mean_squared_percentage_error": [ 4.057754039764404 ] } }, "validation": { "combined": { "loss": [ 0.053195301443338394 ] }, "temperature": { "loss": [ 0.053407300263643265 ], "mean_absolute_error": [ 0.14618726074695587 ], "mean_squared_error": [ 0.05340731143951416 ], "r2": [ 0.9475131630897522 ], "root_mean_squared_error": [ 0.23110021650791168 ], "root_mean_squared_percentage_error": [ 4.772668361663818 ] } } } }, { "eval_stats": { "combined": { "loss": 0.07325493544340134 }, "temperature": { "loss": 0.07352239638566971, "mean_absolute_error": 0.2023126631975174, "mean_squared_error": 0.07352243363857269, "r2": 0.9277446866035461, "root_mean_squared_error": 0.2711502015590668, "root_mean_squared_percentage_error": 6.274576187133789 } }, "metric_score": 0.07325493544340134, "parameters": { "trainer.learning_rate": 0.07741820925074075 }, "training_stats": { "test": { "combined": { "loss": [ 0.07461598515510559 ] }, "temperature": { "loss": [ 0.07462907582521439 ], "mean_absolute_error": [ 0.20498159527778625 ], "mean_squared_error": [ 0.07462908327579498 ], "r2": [ 0.926105260848999 ], "root_mean_squared_error": [ 0.2731832265853882 ], "root_mean_squared_percentage_error": [ 6.231832981109619 ] } }, "training": { "combined": { "loss": [ 0.07510020583868027 ] }, "temperature": { "loss": [ 0.07517903298139572 ], "mean_absolute_error": [ 0.20425966382026672 ], "mean_squared_error": [ 0.07517902553081512 ], "r2": [ 0.9244020581245422 ], "root_mean_squared_error": [ 0.27418795228004456 ], "root_mean_squared_percentage_error": [ 5.540431499481201 ] } }, "validation": { "combined": { "loss": [ 0.07325493544340134 ] }, "temperature": { "loss": [ 0.07352239638566971 ], "mean_absolute_error": [ 0.2023126631975174 ], "mean_squared_error": [ 0.07352243363857269 ], "r2": [ 0.9277446866035461 ], "root_mean_squared_error": [ 0.2711502015590668 ], "root_mean_squared_percentage_error": [ 6.274576187133789 ] } } } } ] }