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
Metadata
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 | Provenance | |
|---|---|---|---|---|
| score-0.0.1a0.tar.gz | 17.0 kB | Without provenance | Details |
Release files / score-0.0.1a0.tar.gz
| Download URL | score-0.0.1a0.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
92046b324c96166378b4aa2cbba7614931dc2180eb7929b60419b5f8c4593b2e
|
|
BLAKE2b-256 checksum How to use checksums |
796e885fa277aefb91b67d7f1f77199463524cb0488ba38205dd117cf5d5d14a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/3.6.1
|
Security for score 0.0.1a0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.