Revert file parameter
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@ -5,10 +5,6 @@ pipeline {
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}
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}
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}
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}
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parameters {
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parameters {
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file(
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name: 'input_example.json',
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description: 'Example input file for the model'
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)
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buildSelector(
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buildSelector(
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defaultSelector: lastSuccessful(),
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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description: 'Which build to use for copying artifacts',
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@ -24,7 +20,6 @@ pipeline {
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}
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}
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stage('Predict values using model from artifact') {
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stage('Predict values using model from artifact') {
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steps {
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steps {
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sh "cat input_example.json"
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sh "python predict_s444356.py"
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sh "python predict_s444356.py"
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}
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}
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}
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}
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@ -6,7 +6,7 @@ logged_model = 'mlruns/1/296d6f314bb2451885fb7ae58988301e/artifacts/model'
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loaded_model = mlflow.pyfunc.load_model(logged_model)
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loaded_model = mlflow.pyfunc.load_model(logged_model)
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with open('input_example.json') as f:
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with open(f'{logged_model}/input_example.json') as f:
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data = json.load(f)
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data = json.load(f)
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input_example = np.array([data['inputs'][0]], dtype=np.float64).reshape(-1, 2)
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input_example = np.array([data['inputs'][0]], dtype=np.float64).reshape(-1, 2)
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