rcorrero / thermidor

thermidor is a Python module that streamlines the machine learning model development process. thermidor contains several utility functions and classes for use in data analysis and processing.

thermidor — Richard Correro

thermidor is a Python module that streamlines the machine learning model development process. thermidor contains several utility functions and classes for use in data analysis and processing.

thermidor provides a framework for generalizing and extending machine learning models built in Sci-kit Learn. thermidor includes estimator, transformer and clusterer sockets which allow for treating steps in a Sci-kit Learn pipeline as parameters. These parameters may be passed to RandomizedSearchCV or GridSearchCV for use in cross- validation.

Project Organization

.
├── LICENSE
├── README.md
├── setup.py
└── thermidor
    ├── __init__.py
    ├── classes
    │   ├── __init__.py
    │   ├── clusterer_socket.py
    │   ├── column_selector.py
    │   ├── data_framer.py
    │   ├── dummy_estimator.py
    │   ├── estimator_socket.py
    │   ├── estimator_socket_cv.py
    │   ├── transformer_socket.py
    │   └── type_selector.py
    └── functions
        ├── __init__.py
        ├── date_extractor.py
        ├── grid_search.py
        └── helpers.py

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Sources:

TypeSelector, ColumnSelector

correlation

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Name:

This project was started in the month of Thermidor, year CCXXVII.

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Created by Richard Correro in 2019. Contact me at rcorrero at stanford dot edu