autopep

Author: wrichert

ch05/chose_instances.py

@@ -23,9 +23,12 @@
 will not be used in the chapter. If, however, you want to experiment with them
 (highly encouraged!), you can get the library from http://packages.python.org/pyenchant/.
 """)
+
     class EnchantMock:
+
         def __init__(self):
             pass
+
         def check(self, word):
             return True
     speller = EnchantMock()
@@ -35,7 +38,6 @@ def check(self, word):
 filtered_meta = json.load(open(filtered_meta, "r"))
 
 
-
 def misspelled_fraction(p):
     tokens = p.split()
     if not tokens:

ch05/data.py

@@ -7,7 +7,7 @@
 
 import os
 
-DATA_DIR = "data" # put your posts-2011-12.xml into this directory
+DATA_DIR = "data"  # put your posts-2011-12.xml into this directory
 CHART_DIR = "charts"
 
 filtered = os.path.join(DATA_DIR, "filtered.tsv")

ch05/log_reg_example.py

@@ -38,7 +38,8 @@ def lr_model(clf, X):
 pyplot.xlabel("feature value")
 pyplot.ylabel("class")
 pyplot.grid(True, linestyle='-', color='0.75')
-pyplot.savefig(os.path.join(CHART_DIR, "log_reg_example_data.png"), bbox_inches="tight")
+pyplot.savefig(
+    os.path.join(CHART_DIR, "log_reg_example_data.png"), bbox_inches="tight")
 
 
 def lin_model(clf, X):
@@ -69,7 +70,8 @@ def lin_model(clf, X):
 pyplot.ylabel("class")
 pyplot.title("linear fit on additional data")
 pyplot.grid(True, linestyle='-', color='0.75')
-pyplot.savefig(os.path.join(CHART_DIR, "log_reg_log_linear_fit.png"), bbox_inches="tight")
+pyplot.savefig(
+    os.path.join(CHART_DIR, "log_reg_log_linear_fit.png"), bbox_inches="tight")
 
 pyplot.figure(figsize=(10, 4))
 pyplot.xlim((-5, 20))
@@ -79,7 +81,8 @@ def lin_model(clf, X):
 pyplot.xlabel("feature value")
 pyplot.ylabel("class")
 pyplot.grid(True, linestyle='-', color='0.75')
-pyplot.savefig(os.path.join(CHART_DIR, "log_reg_example_fitted.png"), bbox_inches="tight")
+pyplot.savefig(
+    os.path.join(CHART_DIR, "log_reg_example_fitted.png"), bbox_inches="tight")
 
 X = np.arange(0, 1, 0.001)
 pyplot.figure(figsize=(10, 4))
@@ -97,4 +100,5 @@ def lin_model(clf, X):
 pyplot.xlabel("P")
 pyplot.ylabel("log(odds) = log(P / (1-P))")
 pyplot.grid(True, linestyle='-', color='0.75')
-pyplot.savefig(os.path.join(CHART_DIR, "log_reg_log_odds.png"), bbox_inches="tight")
+pyplot.savefig(
+    os.path.join(CHART_DIR, "log_reg_log_odds.png"), bbox_inches="tight")