Skip to main content

see long description

Project description

##DOCUMENTATION

bestPR1 has a class named polyBest. Constructor of this class accepts four parameters: 1. Feature Data-frame(a matrix type object) 2. Target Data-frame(a matrix type object) 3*. A list of coefficients of regularization for lasso regression of degree 1,2,3,.. in that order upto whatver degree you would like to do polynomial regression. 4. Train-Test split ratio 5. boolean value, pass True if u want to do StandardScaler else pass False The class has two methods: 1. mseScore(): takes no parameters, returns a list of mse scores of len(3*). 2. maescore(): takes no parameters, returns a list of mae scores of len(3*)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bestPR1-0.6.10.tar.gz (2.1 kB view hashes)

Uploaded Source

Built Distribution

bestPR1-0.6.10-py3-none-any.whl (3.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page