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CI: Добавлены MLflow артефакты и модели [skip ci]
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artifact_path: model
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flavors:
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python_function:
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env:
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conda: conda.yaml
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virtualenv: python_env.yaml
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loader_module: mlflow.sklearn
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model_path: model.pkl
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predict_fn: predict
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python_version: 3.9.25
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sklearn:
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code: null
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pickled_model: model.pkl
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serialization_format: cloudpickle
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sklearn_version: 1.3.2
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mlflow_version: 2.9.2
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model_size_bytes: 153383
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model_uuid: ae418b726d664fff8c577c5484d9e6e1
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run_id: e81a8f0966ab4885949ddce769dfd31a
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utc_time_created: '2025-11-24 00:50:54.551727'
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channels:
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- conda-forge
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dependencies:
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- python=3.9.25
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- pip<=25.3
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- pip:
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- mlflow==2.9.2
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- cloudpickle==3.1.2
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- numpy==1.26.2
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- packaging==23.2
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- psutil==5.9.8
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- pyyaml==6.0.3
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- scikit-learn==1.3.2
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- scipy==1.13.1
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name: mlflow-env
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python: 3.9.25
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build_dependencies:
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- pip==25.3
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- setuptools
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- wheel==0.45.1
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dependencies:
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- -r requirements.txt
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mlflow==2.9.2
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cloudpickle==3.1.2
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numpy==1.26.2
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packaging==23.2
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psutil==5.9.8
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pyyaml==6.0.3
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scikit-learn==1.3.2
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scipy==1.13.1
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artifact_uri: /home/runner/work/MIPT_Devops_2025_HW5/MIPT_Devops_2025_HW5/mlruns/243733623978996866/e81a8f0966ab4885949ddce769dfd31a/artifacts
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end_time: 1763945456742
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entry_point_name: ''
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experiment_id: '243733623978996866'
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lifecycle_stage: active
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run_id: e81a8f0966ab4885949ddce769dfd31a
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run_name: luminous-wren-259
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run_uuid: e81a8f0966ab4885949ddce769dfd31a
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source_name: ''
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source_type: 4
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source_version: ''
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start_time: 1763945454390
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status: 3
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tags: []
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user_id: runner
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