Use file parameter
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@ -4,6 +4,9 @@ pipeline {
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image 's444409-create-dataset'
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image 's444409-create-dataset'
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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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file 'input_example.json'
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}
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stages {
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stages {
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stage('Get dataset from artifact') {
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stage('Get dataset from artifact') {
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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(f'{logged_model}/input_example.json') as f:
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with open('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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