From 49080fde4074e6a05809b0278e5b3ea2306f6055 Mon Sep 17 00:00:00 2001 From: Kumar Nityan Suman Date: Sat, 2 Mar 2024 20:20:40 +0000 Subject: [PATCH] Updated version after bug fix --- lazypredict/Supervised.py | 37 ++++++++++++++++++------------------- setup.cfg | 2 +- setup.py | 17 +++++++++-------- 3 files changed, 28 insertions(+), 28 deletions(-) diff --git a/lazypredict/Supervised.py b/lazypredict/Supervised.py index 19da3e9..70cd835 100644 --- a/lazypredict/Supervised.py +++ b/lazypredict/Supervised.py @@ -1,7 +1,6 @@ """ Supervised Models """ -# Author: Shankar Rao Pandala 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: diff --git a/setup.cfg b/setup.cfg index 43bb9aa..483dd97 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.2.12 +current_version = 0.3.0 commit = True tag = True diff --git a/setup.py b/setup.py index 5d740fa..4d29583 100644 --- a/setup.py +++ b/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 )