puraminy

import numpy as np

NaN = np.nan

import pandas as pd

# The ratings by users (U)
df = pd.DataFrame(np.array([[8,NaN,10,NaN,10],
                           [NaN,2,NaN,3,3],
                           [2,8,NaN,4,1],

puraminy

import seaborn as sn
from numpy import newaxis
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, f1_score, average_precision_score, recall_score
from sklearn.metrics import precision_recall_fscore_support as score
import matplotlib.pyplot as plt
from sklearn import preprocessing
from sklearn.model_selection import train_test_split

def plot_heat_map(ax, X, Y, Z, xlabel, ylabel, format='d', title='Heat Map'):