comparison test-data/temperature_hyperopt_statistics.json @ 0:0a7b83ddda17 draft

planemo upload for repository https://github.com/goeckslab/Galaxy-Ludwig.git commit bdea9430787658783a51cc6c2ae951a01e455bb4

0:0a7b83ddda17

{
    "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
                        ]
                    }
                }
            }
        }
    ]
}