Documentation for svlearn package

Click here for list of all functions in Utils module

Main dependencies: numpy, pandas, sklearn, matplotlib, seaborn, statsmodels, keras, category_encoders, IPython

Utils primarily is a wrapper for ML tasks performed using the above packages

Installation:

pip install svlearn==version

Example:

pip install svlearn==0.0.3.dev1

Upgrade to latest version:

pip install --upgrade svlearn

Upgrade to specific version:

pip install --upgrade svlearn==version

Usage:

import pandas as pd
from svlearn import utils
df = pd.read_csv("test.csv")
utils.about_dataframe(df)

Github

https://github.com/bvoleti-p/svlearn

Documentation

https://svlearn.readthedocs.io/en/latest/

pypi Project URL

https://pypi.org/project/svlearn/

Contents:

• svlearn
  • utils module