import NeuralNetwork as nn
import sklearn as sk
from sklearn.preprocessing import OneHotEncoder, StandardScaler

if __name__ == '__main__':

    iris = sk.datasets.load_iris()

    X = iris.data
    y = iris.target.reshape(-1, 1)

    encoded_labes = OneHotEncoder().fit_transform(y)

    train, test = sk.model_selection.train_test_split(X, test_size=0.2)

    standardized_features = StandardScaler().fit_transform(X)