pip3 install pipenv
pipenv shell
| #confusionmatrix | |
| from sklearn.metrics import confusion_matrix | |
| import numpy as np | |
| def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14, normalize=False): | |
| if normalize: | |
| confusion_matrix = confusion_matrix.astype('float') / confusion_matrix.sum(axis=1)[:, np.newaxis] | |
| fmt = '.2f' | |
| title = 'Normalized Confusion Matrix' |
| #importing the required packages | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| import statsmodels.api as sm | |
| def normalize_z(dfin): | |
| dfout = (dfin - dfin.mean(axis=0))/dfin.std(axis=0) | |
| return dfout |