jarvis.ai.pkgs.sklearn.regression
=================================

.. py:module:: jarvis.ai.pkgs.sklearn.regression

.. autoapi-nested-parse::

   Simple ML models for regression.

   Designed for educational purposes only.



Attributes
----------

.. autoapisummary::

   jarvis.ai.pkgs.sklearn.regression.simple_regr_models


Functions
---------

.. autoapisummary::

   jarvis.ai.pkgs.sklearn.regression.regression


Module Contents
---------------

.. py:data:: simple_regr_models

.. py:function:: regression(X=[], Y=[], plot=False, models=simple_regr_models, preprocess=True, test_size=0.1)

   Provide model as models to get accuracy.

   Args:
       X: input features

       Y: Target data

       models : collection array of models

       plot: whether to make a parity plot with ML models

       preprocess: whether to apply standard preprocessing techniques