vincentappiah vappiah

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vappiah / max_weight_clique_finder.py

Created March 26, 2022 10:05

This script finds the the clique with the clique with the largest weight

	import matplotlib.pyplot as plt
	import numpy as np
	import networkx as nx

	nodes = ["1", "2", "3", "4", "5"]

	P = nx.Graph()
	P.add_nodes_from(nodes)

	weighted_edges = [

vappiah / graph_plotter.py

Last active March 24, 2022 22:18

	import matplotlib.pyplot as plt
	import numpy as np
	import networkx as nx

	nodes=['1', '2', '3', '4', '5']

	P=nx.Graph()
	P.add_nodes_from(nodes)

	weighted_edges=[('1', '2' ,0.11),('1', '3', 3.1),('1','5',2.25),('4','5',0.25),('2','5',0.2),('2','4',0.22),('2','3',0.2)]

vappiah / random forest issue.py

Last active March 4, 2022 19:24

Random Forest unexpected behaviour

	import numpy as np
	import matplotlib.pyplot as plt
	from itertools import cycle

	from sklearn import svm, datasets
	from sklearn.metrics import roc_curve, auc
	from sklearn.model_selection import train_test_split
	from sklearn.preprocessing import label_binarize
	from sklearn.multiclass import OneVsRestClassifier
	from sklearn.metrics import roc_auc_score