Updates to fix style issues.

.pylintrc

@@ -151,7 +151,14 @@ disable=raw-checker-failed,
         suppressed-message,
         useless-suppression,
         deprecated-pragma,
-        use-symbolic-message-instead
+        use-symbolic-message-instead,
+        unnecessary-lambda-assignment,
+        unnecessary-lambda,
+        no-member,
+        too-many-arguments,
+        fixme, # Remove this to find TODOs
+        too-many-instance-attributes,
+        too-many-ancestors
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option
@@ -553,7 +560,18 @@ good-names=i,
            k,
            ex,
            Run,
-           _
+           _,
+           X, Y, C, W,
+           X_train, X_test,
+           Y_train, Y_test,
+           C_train, C_test,
+           X_means, X_stds,
+           C_means, C_stds,
+           Y_means, Y_stds,
+           X_val, Y_val, C_val,
+           W_train, W_val, W_test,
+           beta, mu,
+           Y_true, Y_pred
 
 # Good variable names regexes, separated by a comma. If names match any regex,
 # they will always be accepted

contextualized/__init__.py

@@ -1 +1,6 @@
+"""Contextualized.ML: A statistical machine learning toolbox for estimating
+	models, distributions, and functions with context-specific parameters.
+	For more details, please refer to contextualized.ml.
+"""
+
 from contextualized.utils import *

contextualized/dags/__init__.py

@@ -1,9 +1,14 @@
+"""
+Contextualized Directed Acyclic Graphs (DAGs).
+"""
+
 from contextualized.modules import MLP, NGAM
+from contextualized.dags.notmad import NOTMAD
+
 ENCODERS = {
-    'mlp': MLP,
-    'ngam': NGAM,
+    "mlp": MLP,
+    "ngam": NGAM,
 }
 
-from contextualized.dags.notmad import NOTMAD
-MODELS = ['bayesian']
-METAMODELS = ['subtype']
+MODELS = ["bayesian"]
+METAMODELS = ["subtype"]