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API - Update
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api.py

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@@ -30,8 +30,7 @@
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# Load our model into memory.
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# Please update this path to reflect your own trained model.
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static_model = load_model(
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path_to_model='assets/trained-models/load_shortfall_simple_lm_regression.pkl')
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path_to_model=r'C:\Users\Roger Arendse\Desktop\EDSA\Technical\5. Advanced Regression\1. Predict\load-shortfall-regression-predict-api\assets\mlr_model.pkl')
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print ('-'*40)
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print ('Model successfully loaded')
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print ('-'*40)

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