Metadata-Version: 2.1
Name: sklearnreg
Version: 0.0.2
Summary: a library importing all the classes of regression
Home-page: https://github.com/Sagu12
Author: ['Sagnik Banerjee', 'Ankit Raj']
Author-email: sagu7065@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

This is a library that imports all the classes of sklearn regression model. The list of classes that are imported within this model include:
1. Linear Regression
2. Ridge Regression
3. Lasso Regression
4. Support Vector Regression
5. Decision Tree Regression
6. Random Forest Regression
7. Adaboost Regression

You need to specify all the hyperparameters for each of these classes as is given in the sklearn documentation.

Avail the benefit of imporrting the regression classes at once and play with them to see the best fit model for your regression problem.

Hope it helps to solve your problem.

========================================================================================================================================

steps:

1. pip install sklearnreg

2. from sklearnreg import *

