20 lines
518 B
Python
20 lines
518 B
Python
from mlflow.tracking import MlflowClient
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import mlflow
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import pandas as pd
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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client = MlflowClient()
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version = "c579d6"
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model_name = "s434788"
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#for mv in client.search_model_versions(f"name='{model_name}'"):
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# if int(mv.version) > version:
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# version = int(mv.version)
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model = mlflow.keras.load_model(
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model_uri=f"models:/{model_name}/{version}"
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)
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data = pd.read_json('my_model/input_example.json', orient='split')
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print(data)
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print(model.predict(data)) |