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18
Jenkinsfile-from-registry
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Jenkinsfile-from-registry
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pipeline {
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agent {
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dockerfile true
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}
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stage('predict')
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{
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steps
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{
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catchError {
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sh 'ls -al'
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sh 'python3 predict434788-from-registry.py'
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}
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}
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}
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}
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}
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predict434788-from-registry.py
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predict434788-from-registry.py
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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 = 0
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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='index')
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print(data)
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print(model.predict(data))
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