gchavez2 · February 21, 2019 01:03 · Navien2 · Dec 21, 2019 · OraculoML · Dec 21, 2019
diff --git a/LogisticRegression.py b/LogisticRegression.py
 import numpy as np
 from sklearn import linear_model

 # Load data
 data = np.loadtxt('./heights_weights.csv', delimiter=',', skiprows=1)
 X = data[:,0:2]
 y = data[:,2]

 # Fit (train) the Logistic Regression classifier
 clf = linear_model.LogisticRegression(C=1e40, solver='newton-cg')
 fitted_model = clf.fit(X, y)

 # Predict
 prediction_result = clf.predict([(70,180)])
	import numpy as np
	from sklearn import linear_model

	# Load data
	data = np.loadtxt('./heights_weights.csv', delimiter=',', skiprows=1)
	X = data[:,0:2]
	y = data[:,2]

	# Fit (train) the Logistic Regression classifier
	clf = linear_model.LogisticRegression(C=1e40, solver='newton-cg')
	fitted_model = clf.fit(X, y)

	# Predict
	prediction_result = clf.predict([(70,180)])