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a tiny, simple, instructional machine learning library in python

Project description

kiwi v0.0.4

A tiny, simple, instructional machine learning library in python, written by Ori Yonay.

To install: pip3 install kiwiml

Current Features:

  • autodiff: A simple automatic numpy-compatible multidimensional differentiator
  • Machine Learning Models:
    • KNN
    • Linear Regression
    • Logistic Regression
    • Naive Bayes
    • Perceptron
    • Single Dimensional Analysis
  • Utilities:
    • Accuracy score function for calculating model accuracy
    • train_test_split
    • A function to plot cost histories
    • PCA Decomposition (will be in its own dimensionality reduction class in the future)
  • Error Functions:
    • Mean-Squared Error
    • Cross-Entropy Loss

TODO:

  • Error Functions: add mean absolute deviation
  • Machine Learning Models:
    • SVM
    • Decision Tree
    • Random Forest
    • K-Means Clustering
    • Neural Network Library
      • Fully-Connected layer
      • Convolutional Layer
      • Residual Layer
      • ...
  • Dataset Importer
  • Autolearn

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