This release is a pre-release and may not be stable for production use.
TAIScore
Install
via pip
pip install tscore
via source code
python setup.py install
Usage
import tscore as ts
Documents
A simple API docs
Structure
-
tscore.base
base class and util function -
tscore.data
get data and manage source data -
tscore.preprocessing
data preprocessing -
tscore.features
feature engineering -
tscore.score_card
traditional logistic regression -
tscore.interpreter
try to interpreter black box model -
tscore.metrics
model evalution -
tscore.model_selection
model selection -
tscore.machine_learning
score model with machine learning -
tscore.pipeline
pipeline build tools -
tscore.deploy
- generate model deoply file
- api for model online
- hard rules for logistic regression score card rules
-
tscore.plot
visual model -
tscore.report
generate report for credit score model -
tscore.risk_rules
generate risk rules from data -
tscore.monitor
model monitor
Authors
Release files for score 0.0.1a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| score-0.0.1a0.tar.gz | 17.0 kB | Details |
Release files / score-0.0.1a0.tar.gz
| Download URL | score-0.0.1a0.tar.gz |
|---|---|
| Size | 17.0 kB |
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