mlpack 4.3.0.post1

a flexible, fast machine learning library

Stars: 4785, Watchers: 4785, Forks: 1564, Open Issues: 35

The mlpack/mlpack repo was created 9 years ago and the last code push was 2 hours ago.
The project is very popular with an impressive 4785 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/

Documentation:

http://www.mlpack.org/doc/mlpack-4.3.0.post1/python.html

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 35 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

See more issues on GitHub