Zaktualizuj 'lab_09_predict_coop.py'
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@ -12,11 +12,18 @@ mlflow.set_tracking_uri("http://172.17.0.1:5000")
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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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"""
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Honestly I have no clue how to get model's json input example
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any other way, so just intialize MLFlow client, get latest
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version of choosen model, and then get path to model's files
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"""
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client = MlflowClient()
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models_version = client.search_model_versions("name='s430705'")
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print(models_version[-1])
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path_to_input = models_version[-1]["source"]
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with open('/tmp/mlruns/0/6be4f90846214df8913a553bc53b1019/artifacts/movies_imdb2/input_example.json', 'r') as datafile:
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with open(f'{path_to_input}/input_example.json', 'r') as datafile:
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data = json.load(datafile)
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example_input = data["inputs"]
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