Implementation of a multi-class cascade classifier in a package

General Presentation

This repository includes the second part of my second-year internship at ENSAE (National School of Statistics and Economic Administration), which I carried out at INRAE (National Research Institute for Agriculture, Food and the Environment) over a 4-month period.

More specifically, it contains the development and implementation part in a functional Python package, accessible from Pypi, of a cascade classifier.

! To find out more about the code: take a look at the Wiki of the Wiki !

Project hierarchy

├── LICENSE
├── README.md
├── dist/ <- Folder containing the package
├── examples/ <- For testing
│   ├── data/
│   │   └── merged_final.csv
│   ├── log/
│   ├── metrics/
│   │   ├── classification_report_famille.xlsx
│   │   ├── classification_report_secteur.xlsx
│   │   ├── confusion_matrix_famille.xlsx
│   │   ├── confusion_matrix_secteur.xlsx
│   │   ├── general_stats.txt
│   │   └── predictions.csv
│   ├── models/
│   │   ├── hyper-family.yaml
│   │   ├── hyper-sector.yaml
│   │   └── secteurs.joblib
│   ├── predict_out/
│   │   └── predictions.csv
│   └── train_test/
│       ├── test_split.csv
│       └── train_split.csv
├── pyproject.toml <- To generate the package
├── setup.cfg <- To generate the package
└── src/ <- Package source code
    ├── multiclass_cascade_classifier/
    │   ├── Scripts.py
    │   ├── Skeleton.py
    │   ├── __init__.py
    │   ├── base/
    │   │   ├── ClassifierHelper.py
    │   │   ├── DataFrameNormalizer.py
    │   │   ├── DataHelper.py
    │   │   ├── DataPredicter.py
    │   │   ├── DataTrainer.py
    │   │   ├── DataVectorizer.py
    │   │   ├── FeaturesManipulator.py
    │   │   ├── HyperSelector.py
    │   │   ├── LogJournal.py
    │   │   ├── MetricsGenerator.py
    │   │   ├── PreProcessing.py
    │   │   ├── VariablesChecker.py
    │   │   ├── __init__.py
    │   │   └── variables/ <- Contains general variables
    │   │       ├── Variables.py
    │   │       ├── __init__.py
    │   ├── predict.py
    │   ├── split.py
    │   ├── test.py
    │   └── train.py
    └── multiclass_cascade_classifier.egg-info/

Installation via Pypi

pip install multiclass_cascade_classifier

Note: if this doesn't work, check the file name. It may change depending on the version.

You can now import and use the modules in this package! To find out more, check out the wiki!