Structured as package.

__init__.py

@@ -0,0 +1,2 @@
+from glmnet.elastic_net import ElasticNet
+from glmnet.logistic_net import LogisticNet

glmnet/example_elastic_net.py → example.py

@@ -1,6 +1,6 @@
 import numpy as np
 from elastic_net import ElasticNet
-from lognet import LogNet
+from logistic_net import LogisticNet
 
 display_bar = '-'*70
 
@@ -39,7 +39,7 @@
 p = 1 /( 1 + np.exp(-np.dot(X, w)) )
 y = np.float64(p > .5)
 
-lnet = LogNet(alpha=.75)
+lnet = LogisticNet(alpha=.75)
 lnet.fit(X, y)
 
 print lnet 

glmnet/__init__.py

@@ -0,0 +1,2 @@
+from elastic_net import ElasticNet
+from logistic_net import LogisticNet

glmnet/lognet.py → glmnet/logistic_net.py

@@ -4,7 +4,7 @@
 import _glmnet
 from glmnet import GlmNet
 
-class LogNet(GlmNet):
+class LogisticNet(GlmNet):
     '''The logistic net: a multivariate logistic model with both L1 and L2
     regularizers.