iterVsLoss_sklearn_part1.py

# import required packages
import numpy as np
import seaborn as sns
from sklearn.datasets import make_classification
from sklearn.linear_model import Perceptron
from sklearn.metrics import hinge_loss

# create a linearly separable datapoints
x,y = make_classification(n_redundant=0,n_features=2,n_clusters_per_class=1)

# convert the labels to 1 and -1 as we use perceptron loss
y = np.where(y==0,1,-1)