22 lines
649 B
Python
22 lines
649 B
Python
from mlflow.tracking import MlflowClient
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import mlflow
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import mlflow.keras
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import json
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#mlflow.set_tracking_uri("http://127.0.0.1:5000")
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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 = 0
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model_name = "s434704"
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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.pytorch.load_model(
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model_uri=f"models:/{model_name}/{version}"
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)
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with open('movies_on_streaming_platforms_model/input_example.json') as json_file:
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data = json.load(json_file)
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#print(np.array(data['inputs']))
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print(model.predict(data['inputs'])) |