Removing statsmodels from requirements

kxy/__init__.py

@@ -19,7 +19,7 @@
 You should have received a copy of the GNU Affero General Public License
 along with this program.  If not, see <https://www.gnu.org/licenses/>.
 """
-__version__ = "1.0.2"
+__version__ = "1.0.3"
 
 from kxy.api import *
 from kxy.pre_learning import *

kxy/api/data_transfer.py

@@ -51,7 +51,7 @@ def generate_upload_url(identifier):
 	else:
 		api_response = api_response.json()
 		if 'message' in api_response:
-			logging.warning(api_response['message'])
+			logging.warning("\n%s" % api_response['message'])
 		return None
 
 

kxy/pandas_extension/base_accessor.py

@@ -45,7 +45,7 @@ def is_categorical(self, column):
 
 	def describe(self,):
 		for col in sorted(self._obj.columns):
-			print('       ')
+			print('         ')
 			print('---------' + '-'.join(['' for c in col]))
 			print('Column: %s' % col)
 			print('---------' + '-'.join(['' for c in col]))

requirements.txt

@@ -2,4 +2,3 @@ numpy>=1.18.1
 scipy>=1.4.1
 pandas>==0.23.0
 requests==2.22.0
-statsmodels

setup.py

@@ -12,7 +12,7 @@
 with open('README.md') as f:
 	long_description = f.read()
 
-version = "1.0.2"
+version = "1.0.3"
 setup(name="kxy",
 	version=version,
 	zip_safe=False,
@@ -29,8 +29,7 @@
 	download_url = "https://github.com/kxytechnologies/kxy-python/archive/v%s.tar.gz" % version,
 	keywords = ["Lean ML", "AutoML", "Pre-Learning", "Post-Learning", "Model-Free ML"],
 	packages=find_packages(exclude=["tests"]),
-	install_requires=["numpy>=1.13.1", "scipy>=1.4.1", "pandas>=0.23.0", "requests==2.22.0", \
-		"statsmodels"],
+	install_requires=["numpy>=1.13.1", "scipy>=1.4.1", "pandas>=0.23.0", "requests==2.22.0"],
 	classifiers=[
         "Environment :: Console",
         "Intended Audience :: Developers",