
mlpack 4.0.1
0
a flexible, fast machine learning library
Contents
a flexible, fast machine learning library
Stars: 4178, Watchers: 4178, Forks: 1456, Open Issues: 39The mlpack/mlpack
repo was created 8 years ago and was last updated 7 hours ago.
The project is very popular with an impressive 4178 github stars!
How to Install mlpack
You can install mlpack using pip
pip install mlpack
or add it to a project with poetry
poetry add mlpack
Package Details
- Author
- mlpack developers
- License
- BSD
- Homepage
- http://www.mlpack.org/
- PyPi
- https://pypi.org/project/mlpack/
- GitHub Repo
- https://github.com/mlpack/mlpack
Classifiers
- Scientific/Engineering/Artificial Intelligence
- Scientific/Engineering/Mathematics
- Software Development/Libraries
- Software Development/Libraries/Application Frameworks
Related Packages
Errors
A list of common mlpack errors.
Code Examples
Here are some mlpack
code examples and snippets.
GitHub Issues
The mlpack package has 39 open issues on GitHub
- added check for input data value
- getting all class prediction with probability score for classification model like random forest
- Added Simple Exponential Smoothing model for time series
- adding sample examples for adaptive layers
- Instance Norm
- Subset Selection on data
- Removing Remaining Boost
- Added checks for relative input shapes in linear regression and k means clustering
- move and copy constructor for pooling layers
- input_labels parameter in preprocess_split function can't be empty
- Randomized ReLU Activation Function
- LayerNorm copy and move constructor created
- Implementation of Threshold Activation Fn Done
- A loaded model with PReLU does not produce expected predictions
- add implementation of ISRU activation function