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mlruns/507776702722051758/07f254bec6934ccda7c961f2bd558c8c/meta.yaml
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mlruns/507776702722051758/133ae9056ad14c92a3047d60ca917cf3/tags/mlflow.source.name
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main.py |
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mlruns/507776702722051758/133ae9056ad14c92a3047d60ca917cf3/tags/mlflow.source.type
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LOCAL |
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mlruns/507776702722051758/133ae9056ad14c92a3047d60ca917cf3/tags/mlflow.user
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pops |
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/meta.yaml
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artifact_uri: file:///home/pops/myProjects/ts_classification_mlflow_hydra_optuna/mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/artifacts | ||
end_time: 1712503700998 | ||
entry_point_name: '' | ||
experiment_id: '507776702722051758' | ||
lifecycle_stage: active | ||
run_id: 138d7601ebc3465c9e370ce294c4e8e9 | ||
run_name: ItalyPowerDemand | ||
run_uuid: 138d7601ebc3465c9e370ce294c4e8e9 | ||
source_name: '' | ||
source_type: 4 | ||
source_version: '' | ||
start_time: 1712503700979 | ||
status: 3 | ||
tags: [] | ||
user_id: pops |
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/metrics/accuracy
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/metrics/f1
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/metrics/macro_f1_score
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1712503700992 0.8124279239159897 0 |
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/metrics/precision
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/metrics/recall
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/params/epochs
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500 |
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mlruns/507776702722051758/138d7601ebc3465c9e370ce294c4e8e9/params/lr
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0.001 |
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