Changelog

All notable changes to this project will be documented in this file.

[Unreleased]

• MLOps core of model serving in command line interface

• MLOps core of continuous training in web interface.

[0.3.0] - 2023-08-11

Added

• Colourful command line interface to highligh importance stuffs.

• Standardization of run-driven operation for an experiment.

• Specialized storage mechanism to achieve the MLOps core of machine learning lifecycle management using MLflow

• Online documentation, including project section, user section, developer section.

• New Models:

  • Regression Models

    • Lasso Regression

    • Gradient Boosting

    • K-Nearest Neighbors

  • Decomposition Models

    • T-SNE

    • MDS

• Docker deployment configuration.

• Continuous intergration (CI) before git commit using pre-commit.

[0.2.1] - 2023-05-01

Fixed

• Fix map projection dependency by replacing geopandas with basemap.

[0.2.0] - 2023-04-19

Added

• Manual hyper parameters selection and automated hyper parameter selection using FLAML and Ray for every existed models

• New Models:

  • Classification Models

    • Multi-layer Perceptron

    • Extra Trees

[0.1.0] - 2023-02-01

Added

• End-to-end cutomized automated machine learning training pipeline with specialized design pattern to achieve the MLOps core of continuous training in command line interface.

• New Models

  • Regression Models

    • Linear Regression

    • Polynomial Regression

    • Decision Tree

    • Extra Trees

    • Random Forest

    • XGBoost

    • Support Vector Machine

    • Multi-layer Perceptron

  • Classification Models

    • Decision Tree

    • Random Forest

    • XGBoost

    • Support Vector Machine

    • Logistic Regression

  • Clustering Models

    • KMeans

    • DBSCAN

  • Decomposition Models

    • Principle Component Analysis

• Build up continuous integration (CI) after git commit using Git Action