Documentation for svlearn packageΒΆ
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