From 8d48d7f14660df457b3fbc1c75aee5894103eb74 Mon Sep 17 00:00:00 2001
From: jason_cv <jcoronav@tecmor.mx>
Date: Mon, 27 Apr 2020 17:39:54 -0500
Subject: [PATCH] Regresion Lasso

---
 RegresionLasso.py | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)
 create mode 100644 RegresionLasso.py

diff --git a/RegresionLasso.py b/RegresionLasso.py
new file mode 100644
index 0000000..d383b7b
--- /dev/null
+++ b/RegresionLasso.py
@@ -0,0 +1,30 @@
+from sklearn.linear_model import Lasso
+from sklearn.preprocessing import PolynomialFeatures
+import numpy as np
+import matplotlib.pyplot as plt
+###############################
+#Datos originales
+###############################
+m = 100
+X = 6 * np.random.rand(m, 1) - 3
+y = 0.5 * X**2 + X + 2 + np.random.randn(m, 1)
+
+plt.plot(X,y,".",label = "Datos originales")
+###############################
+poly_features = PolynomialFeatures(degree=2, include_bias=False)
+X_pol = poly_features.fit_transform(X)
+lasso_reg = Lasso(alpha=0.1)
+lasso_reg.fit(X_pol, y)
+yout=lasso_reg.predict(X_pol)
+plt.plot(X,yout,"*",label = "Predicciones")
+
+
+
+# naming the x axis 
+plt.xlabel('Eje X') 
+# naming the y axis 
+plt.ylabel('Eje Y') 
+# giving a title to my graph 
+
+plt.legend() 
+plt.show()