Metadata-Version: 2.1
Name: forcasting
Version: 0.0.2-beta-
Summary: Predict the value any this like car price share market
Home-page: http://www.sushilranjan.com
Author: Sushil Ranjan
Author-email: nikuraj006@gmail.com
License: BSD
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI
Requires-Python: >=3.5
Provides-Extra: bcrypt
Provides-Extra: argon2
Requires-Dist: pytz
Requires-Dist: scikit-learn
Requires-Dist: pybuilder
Requires-Dist: pymysql
Requires-Dist: configparser
Requires-Dist: pytest
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: sklearn
Provides-Extra: argon2
Requires-Dist: argon2-cffi (>=16.1.0); extra == 'argon2'
Provides-Extra: bcrypt
Requires-Dist: bcrypt; extra == 'bcrypt'

from sushil import main
and run main with getPridiction(user_input, raw_data, target)
getPrediction will return accuracy and predict value

