ML: Logistic Regression

Logistic Regression Algorithm with Usability in Python (06/2024)

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Architecture:

Details:

1.0: From the code written in C, an object file is generated for each respective .c file.

    - 1.1: With the generated object file, a dynamic library is created (linker).

    - 1.2: The dynamic library created is then loaded in memory, and thus, the functions defined in .c files is now accessible in other programs.

2.0: The model parameters are adjusted by Gradient Descendent Algorithm.

3.0: The class can be imported and used in other files.

Cost Function:

Using:

    # Backend Compilation
    $ cd ./backend
    $ make lib

    # Usage of the interface (class LogisticRegression)
    $ cd ./app
    $ pip install -r requirements.txt
    $ python3 main.py

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