practice_SDOML documentation

Contents:

• practice_sdoml
  • practice_sdoml package

Indexes and tables

• Index

• Module Index

• Search Page

Project Overview & Workflow

This project implements an end-to-end Machine Learning pipeline using PyTorch:

• Data ingestion and preprocessing with one-hot encoding for tabular features.

• Neural network architecture (SimpleNet) for supervised classification.

• Model evaluation tracking loss curves, confusion matrices, and calibration reliability.