mlpack 4.0.1

a flexible, fast machine learning library

01-21-2022 234 words 2 minutes 0 views

Contents

a flexible, fast machine learning library

Stars: 4178, Watchers: 4178, Forks: 1456, Open Issues: 39

The 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!

You can install mlpack using pip

pip install mlpack

or add it to a project with poetry

poetry add mlpack

No mlpack pypi packages just yet.

A list of common mlpack errors.

Here are some mlpack code examples and snippets.

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