predict from registry
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This commit is contained in:
Adam Wojdyla 2022-05-16 09:03:45 +02:00
parent 4e1160e7f8
commit fad30cde27
3 changed files with 31 additions and 1 deletions

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@ -0,0 +1,16 @@
pipeline {
agent {
docker {
image 's444507-create-dataset'
args '-v /mlruns:/mlruns'
}
}
stages {
stage('Predict values using model from artifact') {
steps {
sh "python3 predict_from_registry.py"
}
}
}
}

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@ -20,7 +20,7 @@ import mlflow.pytorch
logging.basicConfig(level=logging.WARN)
logger = logging.getLogger(__name__)
# mlflow.set_tracking_uri("http://localhost:5000/")
mlflow.set_tracking_uri("http://172.17.0.1:5000")
mlflow.set_experiment("s444507")

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import json
import mlflow
import numpy as np
logged_model = '/mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model'
loaded_model = mlflow.pyfunc.load_model(logged_model)
with open(f'{logged_model}/input_example.json') as f:
data = json.load(f)
input_example = np.array([data['inputs'][0]], dtype=np.float64).reshape(-1, 2)
print(f'Prediction: {loaded_model.predict(input_example)}')