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finish lab8

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This commit is contained in:
Kacper 2022-05-14 16:03:17 +02:00
parent 3ff773a060
commit 0fa82781af
2 changed files with 8 additions and 11 deletions
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11
lab8/predict_artifact.py
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@ -2,16 +2,13 @@ import mlflow
import numpy as np import numpy as np
import json import json
artifact_path = 'mlruns/1//artifacts/model' # artifact_path = 'mlruns_s444417/1/169f2bf3d53f4de088c494e889c6e65a/artifacts/model'
model = mlflow.pyfunc.load_model(artifact_path) # model = mlflow.pyfunc.load_model(artifact_path)
with open(f'{model}/input_example.json') as f: with open(f'input_example.json') as f:
input_example_data = json.load(f) input_example_data = json.load(f)
input_example = np.array() # input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
print(f'Input example: {input_example}') print(f'Input example: {input_example}')
print(f'Model prediction: {model.predict(input_example)}') print(f'Model prediction: {model.predict(input_example)}')

8
lab8/predict_registry.py
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@ -2,13 +2,13 @@ import mlflow
import numpy as np import numpy as np
import json import json
regsistry_path = '/mlruns/17/ /artifacts/model' # registry_path = '/mlruns/17/4a8894c60fe34adcb79108c66d7330fc/artifacts/linear-model'
model = mlflow.pyfunc.load_model(registry_path) # model = mlflow.pyfunc.load_model(registry_path)
with open(f'{model}/input_example.json') as f: with open(f'{registry_path}/input_example.json') as f:
input_example_data = json.load(f) input_example_data = json.load(f)
input_example = np.array() # input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
print(f'Input example: {input_example}') print(f'Input example: {input_example}')
print(f'Model prediction: {model.predict(input_example)}') print(f'Model prediction: {model.predict(input_example)}')