Zaktualizuj 'lab_09_predict_coop.py'
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@ -13,8 +13,8 @@ model = mlflow.pyfunc.load_model(
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model_uri=f"models:/{model_name}/{model_version}"
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)
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client = MlflowClient()
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for mv in client.search_model_versions("name='s430705'"):
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pprint(dict(mv), indent=4)
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models_version = client.search_model_versions("name='s430705'"):
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print(type(models_version))
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with open('/tmp/mlruns/0/6be4f90846214df8913a553bc53b1019/artifacts/movies_imdb2/input_example.json', 'r') as datafile:
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data = json.load(datafile)
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