Welcome to emlearn-micropython’s documentation!

Contents

• emlearn-micropython
  • Status
  • Features
  • Examples
  • Documentation
  • Citations
  • Developing
• User Guide
  • 1. Getting started on PC (Linux/MacOS/Windows)
  • 2. Getting started on device (ESP32/RP2/STM32/etc)
  • 3. Getting started for browser
  • 4. Supported versions
  • 5. Native modules
  • 6. External modules
• Examples
  • Soundlevel using IIR filters (soundlevel_iir)
  • Human Activity Detection using classification trees (har_trees)
  • Digits recognition using Convolutional Neural Networks (mnist_cnn)
  • XOR classification using trees (xor_trees)
• API reference
  • emlearn_trees - Decision tree ensemble inference
  • emlearn_linreg - Linear regression
  • emlearn_logreg - Logistic regression classification
  • emlearn_extratrees - Learning decision tree ensembles
  • emlearn_plsr - Partial Least Squares Regression (PLSR)
  • emlearn_cnn - Convolutional Neural Networks inference
  • emlearn_neighbors - K Nearest Neighbors (KNN)
  • emlearn_fft - Fast Fourier Transform
  • emlearn_iir - Infinite Impulse Reponse filters
  • emlearn_arrayutils - Efficient utilities for array.array
• More
  • emlearn documentation
  • Presentations
  • Other resources
• The MIT License

Indices and tables

• Index

• Module Index

• Search Page