2022-05-15 12:33:21 +02:00
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import mlflow
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import numpy as np
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import json
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2022-05-15 12:50:04 +02:00
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import os
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2022-05-15 12:33:21 +02:00
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2022-05-15 12:50:04 +02:00
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print('################\n\n', os.listdir(), "\n\n###############")
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2022-05-15 12:33:21 +02:00
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model = mlflow.pyfunc.load_model(
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2022-05-15 12:57:34 +02:00
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'mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model')
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with open('mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model/input_example.json') as f:
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2022-05-15 12:59:27 +02:00
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data = np.array([json.load(f)['inputs'][0]], dtype=np.float64)
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2022-05-15 12:33:21 +02:00
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print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")
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