Updated version after bug fix

lazypredict/Supervised.py

@@ -1,7 +1,6 @@
 """
 Supervised Models
 """
-# Author: Shankar Rao Pandala <[email protected]>
 
 import numpy as np
 import pandas as pd
@@ -40,9 +39,9 @@
     "GaussianProcessClassifier",
     "HistGradientBoostingClassifier",
     "MLPClassifier",
-    "LogisticRegressionCV", 
-    "MultiOutputClassifier", 
-    "MultinomialNB", 
+    "LogisticRegressionCV",
+    "MultiOutputClassifier",
+    "MultinomialNB",
     "OneVsOneClassifier",
     "OneVsRestClassifier",
     "OutputCodeClassifier",
@@ -52,20 +51,20 @@
 
 removed_regressors = [
     "TheilSenRegressor",
-    "ARDRegression", 
-    "CCA", 
-    "IsotonicRegression", 
+    "ARDRegression",
+    "CCA",
+    "IsotonicRegression",
     "StackingRegressor",
-    "MultiOutputRegressor", 
-    "MultiTaskElasticNet", 
-    "MultiTaskElasticNetCV", 
-    "MultiTaskLasso", 
-    "MultiTaskLassoCV", 
-    "PLSCanonical", 
-    "PLSRegression", 
-    "RadiusNeighborsRegressor", 
-    "RegressorChain", 
-    "VotingRegressor", 
+    "MultiOutputRegressor",
+    "MultiTaskElasticNet",
+    "MultiTaskElasticNetCV",
+    "MultiTaskLasso",
+    "MultiTaskLassoCV",
+    "PLSCanonical",
+    "PLSRegression",
+    "RadiusNeighborsRegressor",
+    "RegressorChain",
+    "VotingRegressor",
 ]
 
 CLASSIFIERS = [
@@ -404,7 +403,7 @@ def provide_models(self, X_train, X_test, y_train, y_test):
         Returns
         -------
         models: dict-object,
-            Returns a dictionary with each model pipeline as value 
+            Returns a dictionary with each model pipeline as value
             with key as name of models.
         """
         if len(self.models.keys()) == 0:
@@ -681,7 +680,7 @@ def provide_models(self, X_train, X_test, y_train, y_test):
         Returns
         -------
         models: dict-object,
-            Returns a dictionary with each model pipeline as value 
+            Returns a dictionary with each model pipeline as value
             with key as name of models.
         """
         if len(self.models.keys()) == 0:

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.2.12
+current_version = 0.3.0
 commit = True
 tag = True
 

setup.py

@@ -22,8 +22,8 @@
 ]
 
 setup(
-    author="Shankar Rao Pandala",
-    author_email="shankar.pandala@live.com",
+    author="Kumar Nityan Suman",
+    author_email="nityan.suman@gmail.com",
     python_requires=">=3.6",
     classifiers=[
         "Development Status :: 2 - Pre-Alpha",
@@ -37,21 +37,22 @@
         'Programming Language :: Python :: 3.8',
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
     ],
-    description="Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning",
+    description="[Updated] Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning",
     long_description_content_type="text/markdown",
     entry_points={"console_scripts": ["lazypredict=lazypredict.cli:main",],},
     install_requires=requirements,
     license="MIT license",
     long_description=readme + "\n\n" + history,
     include_package_data=True,
-    keywords="lazypredict",
-    name="lazypredict",
+    keywords=["lazypredict", "lazypredict-nightly"],
+    name="lazypredict-nightly",
     packages=find_packages(include=["lazypredict", "lazypredict.*"]),
     setup_requires=setup_requirements,
     test_suite="tests",
     tests_require=test_requirements,
-    url="https://github.com/shankarpandala/lazypredict",
-    version='0.2.12',
-    zip_safe=False,
+    url="https://github.com/nityansuman/lazypredict-nightly",
+    version='0.3.0',
+    zip_safe=False
 )