Created
March 29, 2020 11:10
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| import numpy as np | |
| from sklearn import preprocessing | |
| features = np.array([[-500, 5], | |
| [2, 10], | |
| [4, 100], | |
| [9, 10]]) | |
| # Create the MinMax Scaler | |
| minmax_scaler = preprocessing.MinMaxScaler(feature_range=(0,1)) | |
| # Apply the MinMax Rescaling on our feature maps | |
| scaled_feature = minmax_scaler.fit_transform(features) | |
| print(scaled_features) |
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