fixing a bug - installation from .tar

Author: Nikeshbajaj

MANIFEST.in

@@ -1,9 +1,11 @@
 include *.md
 include docs/index.rst
 include LICENSE
+include Version
 include requirements.txt
 include spkit/__init__.py
 include spkit/data/EEG16SecData.pkl
+include spkit/data/primitive_polynomials_GF2_dict.txt
 
 recursive-include spkit *.py
 recursive-include spkit *.txt

Version

@@ -1 +1 @@
-0.0.7
+0.0.8

setup.py

@@ -5,16 +5,21 @@
     long_description = fh.read()
 
 top_dir, _ = os.path.split(os.path.abspath(__file__))
+if os.path.isfile(os.path.join(top_dir, 'Version')):
+    with open(os.path.join(top_dir, 'Version')) as f:
+        version = f.readline().strip()
+else:
+    import urllib
+    Vpath = 'https://raw.githubusercontent.com/Nikeshbajaj/spkit/master/Version'
+    version = urllib.request.urlopen(Vpath).read().strip().decode("utf-8")
 
-with open(os.path.join(top_dir, 'Version')) as f:
-    version = f.readline().strip()
 
 setuptools.setup(
     name="spkit",
     version= version,
     author="Nikesh Bajaj",
     author_email="[email protected]",
-    description="SpKit: Signal Processing toolkit",
+    description="SpKit: Signal Processing toolkit \n Author::Nikesh Bajaj \n https://github.com/Nikeshbajaj/spkit",
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/Nikeshbajaj/spkit",
@@ -42,6 +47,12 @@
 
         'Development Status :: 5 - Production/Stable',
     ],
+    project_urls={
+    'Documentation': 'https://spkit.readthedocs.io/',
+    'Say Thanks!': 'https://github.com/Nikeshbajaj',
+    'Source': 'https://github.com/Nikeshbajaj/spkit',
+    'Tracker': 'https://github.com/Nikeshbajaj/spkit/issues',
+    },
     include_package_data=True,
     install_requires=['numpy','matplotlib','scipy','scikit-learn','python-picard']
 )

spkit/ml/Trees.py

@@ -67,12 +67,13 @@ def __init__(self, min_samples_split=2, min_impurity=1e-7, max_depth=float("inf"
         self.verbose = None
         self.feature_names = None
         self.randomBranch=None
-
+        self.__author__ = 'Nikesh Bajaj'
         # Function to calculate impurity (classif.=>info gain, regr=>variance reduct.)
         self._impurity_calculation = None
 
         # Function to determine prediction of y at leaf
         self._leaf_value_calculation = None
+
     def fit(self, X, y):
         '''
         Building a tree and saving in an dictionary at self.tree
@@ -110,7 +111,7 @@ def fit(self, X, y):
         self.tree = self.pruneTree(self.tree)
         self.tree = self.pruneTree(self.tree)
         self.tree = self.pruneTree(self.tree)
-        if self.verbose>0:
+        if self.verbose:
             print('|\n|.........................tree is buit!')
             print('---------------------------------------')
         self.trained = True
@@ -504,7 +505,7 @@ def get_tree(self):
             print("No tree found, haven't trained yet!!")
     def set_featureNames(self,feature_names=None):
         if feature_names is None or len(feature_names)!=self.nfeatures:
-            print('setting feature names to default..f1, f2....fn')
+            if self.verbose: print('setting feature names to default..f1, f2....fn')
             self.feature_names = ['f'+str(i) for i in range(1,self.nfeatures+1)]
         else:
             self.feature_names = feature_names