Implementation of MP Neuron using Python

MPNeuron_PreProcessing.py

import sklearn.datasets
import numpy as np
import pandas as pd

breast_cancer = sklearn.datasets.load_breast_cancer()
X = breast_cancer.data
Y = breast_cancer.target

#Converting the data to Pandas dataframe
data = pd.DataFrame(breast_cancer.data, columns=breast_cancer.feature_names)
data['class'] = breast_cancer.target
data.head()

from sklearn.model_selection import train_test_split
X = data.drop('class', axis=1)
Y = data['class']
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.1, stratify = Y)
#converting the input features to a binary format
X_binarised_train = X_train.apply(pd.cut, bins=2, labels=[1,0])
X_binarised_test = X_test.apply(pd.cut, bins=2, labels=[1,0])