Metadata-Version: 2.1
Name: autooptimizer
Version: 0.8.4
Summary: AutoOptimizer is a python package for optimize machine learning algorithms.
Home-page: https://github.com/mrb987/autooptimizer
Author: MohammadReza Barghi
Author-email: info@genesiscube.ir
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: sklearn
Requires-Dist: numpy
Requires-Dist: pandas

AutoOptimizer provides tools to automatically optimize machine learning model for every dataset.

It refers to techniques that allow semi-sophisticated machine learning practitioners and non-experts to discover 
a good predictive model pipeline for their machine learning algorithm task quickly with very little intervention other than providing a dataset.


#Prerequisites:

>-sklearn

>-numpy	

>-pandas

#install package:

pip install autooptimzer


#install package in jupyter notebook:

1-open anaconda prompt (recommended open as administrator)

2-pip install autooptimzer


#Usage:

>Optimize scikit learn supervised, unsupervised and ensemble learning models using python.

{DBSCAN, KMeans, MeanShift, LogisticRegression, LinearRegression, KNeighborsClassifier, KNeighborsRegressor, DecisionTreeClassifier, DecisionTreeRegressor
RandomForestClassifier, RandomForestRegressor, GradientBoostingClassifier, GradientBoostingRegressor, AdaBoostClassifier, AdaBoostRegressor, SupportVectorClassifier,
BaggingClassifier, BaggingRegressor, ExtraTreesClassifier }


>Metrics for Your Regression Model

>Clear data by removing outliers

for more information visit: http://genesiscube.ir/index.php/autooptimizer/


#Contact and Contributing:
Please share your good ideas with us.
Simply letting us know how we can improve the programm to serve you better.
Thanks for contributing with the program.

>>https://github.com/mrb987/autooptimizer

>>info@Genesiscube.ir

>>www.GenesisCube.ir

