Convex linear models, Linear Regression, Logistic Regression, and Support Vector Machines, to test convexity and performance by using non-linear endogenous features in time series data.
- Cloning repository
Clone entire github project
git@github.com:IFFranciscoME/Convex-Models.git
(optional) create a virtual environment
virtualenv venv
(optional) activate virtual environment
source ~/venv/bin/activate
and then install dependencies
pip install -r requirements.txt
- The model accuracy with train data was: 82.7 %
- The model accuracy with test data was: 83.19 %
J.Francisco Munnoz - IFFranciscoME - Is an Associate Professor in the Mathematics and Physics Department, at ITESO University.
GNU General Public License v3.0
Permissions of this strong copyleft license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights.
Contact: For more information in reggards of this project, please contact francisco.me@iteso.mx