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TAIScore

Project description

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

spencercs.ai@gmail.com

Project details


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Source Distribution

score-0.0.1a0.tar.gz (17.0 kB view hashes)

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