python utils for detect data
Project description
TOAD
ESC Team's scorecard tools
Install
via pip
pip install toad
via source code
python setup.py install
Usage
import toad
data = pd.read_csv('test.csv')
toad.detect(data)
toad.quality(data, target = 'TARGET', iv_only = True)
toad.IV(feature, target, method = 'dt', min_samples = 0.1)
Documents
A simple API docs
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
toad-0.0.50.tar.gz
(14.0 MB
view hashes)
Built Distributions
Close
Hashes for toad-0.0.50-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3dc7d037ebc9d55482c838ab31b467383b437ee7d91613fb12cd3bae979e07e |
|
MD5 | ccc9f2f8da1485f17812b047810758bb |
|
BLAKE2b-256 | f7c57c380a6b661616baa273954f0c0d26e9ed1589bc8290d4af17a92fc3a046 |
Close
Hashes for toad-0.0.50-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c32a71656d5fea9d57a67f52027464d3a32d74126922f1f6f277ca60c735587 |
|
MD5 | fa6db5f0f086a71cfa5889849e651944 |
|
BLAKE2b-256 | 11416bd36ebe04d904ed65afda744b28467f67b7597e01a6d08522d1d3983a24 |