update jenkinsfile_train-sacred, predict.py
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@ -17,6 +17,7 @@ pipeline {
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stage('Script'){
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steps {
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copyArtifacts filter: '*', projectName: 's444356-create-dataset'
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sh 'rm -rf my_model'
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sh "python Biblioteka_DL/dllib-mlflow.py $EPOCHS"
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archiveArtifacts artifacts: 'games_model.pkl'
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archiveArtifacts artifacts: 'mlruns/**'
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@ -13,4 +13,4 @@ with open(f'{logged_model}/'+input) as f:
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data = json.load(f)
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input_example = np.array([data['inputs'][0]], dtype=np.float32)
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loaded_model.predict(input_example)
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print(f'Prediction: {loaded_model.predict(input_example)}')
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