Add MLproject for MLFlow
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@ -20,3 +20,4 @@ evaluation_results.txt
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model_out
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trend.png
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sacred_runs
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mlruns
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14
MLproject
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14
MLproject
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@ -0,0 +1,14 @@
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name: ium_s444409
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docker_env:
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image: s444409-create-dataset
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volumes: ["/tmp/mlruns:/mlruns:rw"]
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entry_points:
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main:
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parameters:
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epochs: {type: float, default: 5}
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batch_size: {type: float, default: 64}
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command: "python train_model.py -e {epochs} -b {batch_size}"
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eval:
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command: "python eval_model.py"
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@ -12,7 +12,7 @@ default_epochs = 5
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device = "cuda" if torch.cuda.is_available() else "cpu"
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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#mlflow.set_tracking_uri("http://172.17.0.1:5000")
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mlflow.set_experiment("s444409")
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