Silicon Labs Machine Learning Toolkit (MLTK)¶
This package is considered EXPERIMENTAL - SILICON LABS DOES NOT OFFER ANY WARRANTIES AND DISCLAIMS ALL IMPLIED WARRANTIES CONCERNING THIS SOFTWARE. This package is made available as a self-serve reference supported only by the on-line documentation, and community support. There are no Silicon Labs support services for this software at this time.
This is a Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab’s embedded platforms.
The features of this Python package include:
Command-line - Execute all ML operations from simple command-line interface
Python API - Execute all ML operations from a Python script
Model Profiler - Determine how efficient an ML model will execute on an embedded platform
Model Evaluation - Evaluate a trained ML model’s accuracy and other metrics
Model Summary - Generate a summary of the model’s contents
Model Visualization - Interactively view the ML model’s structure
Model Parameters - Embed custom parameters into the generated model file
Audio Feature Generator - Library and tools to convert streaming audio into spectrograms
Audio Utilities - Utilities to aid the development of audio classification models
C++ Python Wrappers - Enable sharing source code between embedded targets and model training scripts
Refer to Why MLTK? for more details on the benefits of using the MLTK.
Just want to quickly profile a model to see how fast it can run on an embedded target?
See the Model Profiler Utility
Install the pre-build Python package:
pip install silabs-mltk
pip3 install silabs-mltk
Or, build and install Python package from Github:
pip install git+https://github.com/siliconlabs/mltk.git
pip3 install git+https://github.com/siliconlabs/mltk.git
Refer to Installation Guide for more details on how to install the MLTK.
The licensor of this software is Silicon Laboratories Inc.
This software is provided ‘as-is’, without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software.
Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions:
The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
This notice may not be removed or altered from any source distribution.