19 lines
422 B
Python
19 lines
422 B
Python
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import NeuralNetwork as nn
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import sklearn as sk
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from sklearn.preprocessing import OneHotEncoder, StandardScaler
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if __name__ == '__main__':
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iris = sk.datasets.load_iris()
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X = iris.data
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y = iris.target.reshape(-1, 1)
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encoded_labes = OneHotEncoder().fit_transform(y)
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train, test = sk.model_selection.train_test_split(X, test_size=0.2)
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standardized_features = StandardScaler().fit_transform(X)
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