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@ -4,7 +4,7 @@ pipeline {
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}
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options {
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copyArtifactPermission('s434742-training, s434742-evaluation');
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copyArtifactPermission('s434695-training, s434695-evaluation');
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}
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//Definijuemy parametry, które będzie można podać podczas wywoływania zadania
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parameters {
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@ -0,0 +1,14 @@
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artifact_path: vgsales_model.h5
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flavors:
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keras:
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data: data
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keras_module: tensorflow.keras
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keras_version: 2.4.0
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save_format: tf
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python_function:
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data: data
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env: conda.yaml
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loader_module: mlflow.keras
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python_version: 3.8.5
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run_id: 0ea520210c1142a8914464d00c7b191c
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utc_time_created: '2021-05-23 16:21:29.703731'
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@ -0,0 +1,10 @@
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channels:
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- defaults
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- conda-forge
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dependencies:
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- python=3.8.5
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- pip
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- pip:
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- mlflow
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- tensorflow==2.4.1
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name: mlflow-env
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tensorflow.keras
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tf
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15
mlruns/0/0ea520210c1142a8914464d00c7b191c/meta.yaml
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15
mlruns/0/0ea520210c1142a8914464d00c7b191c/meta.yaml
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artifact_uri: file:///home/tomasz/IUM/ium_434695/mlruns/0/0ea520210c1142a8914464d00c7b191c/artifacts
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end_time: 1621786890950
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entry_point_name: ''
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experiment_id: '0'
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lifecycle_stage: active
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name: ''
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run_id: 0ea520210c1142a8914464d00c7b191c
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run_uuid: 0ea520210c1142a8914464d00c7b191c
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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: 1621786848936
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status: 3
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tags: []
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user_id: tomasz
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1
mlruns/0/0ea520210c1142a8914464d00c7b191c/metrics/rmse
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1
mlruns/0/0ea520210c1142a8914464d00c7b191c/metrics/rmse
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1621786889700 0.03299361455239928 0
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16
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1
mlruns/0/0ea520210c1142a8914464d00c7b191c/params/epochs
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mlruns/0/0ea520210c1142a8914464d00c7b191c/params/epochs
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15
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[{"run_id": "0ea520210c1142a8914464d00c7b191c", "artifact_path": "vgsales_model.h5", "utc_time_created": "2021-05-23 16:21:29.703731", "flavors": {"keras": {"keras_module": "tensorflow.keras", "keras_version": "2.4.0", "save_format": "tf", "data": "data"}, "python_function": {"loader_module": "mlflow.keras", "python_version": "3.8.5", "data": "data", "env": "conda.yaml"}}}]
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e91324c1c5ec6c5b5b8686f09afd71428d0a94bb
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@ -0,0 +1 @@
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/home/tomasz/IUM/ium_434695/vgsales-mlflow.py
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LOCAL
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@ -0,0 +1 @@
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tomasz
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