Skip to content
#

machine-learning-library

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 206 public repositories matching this topic...

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  • Updated Sep 4, 2021
  • Python
NippunSharma
NippunSharma commented Jul 8, 2021

Issue description

This issue was encountered when I was testing the python generated wrapper of Adaboost for my GSoC project for compatibility with scikit hyperparameter tuners in Python.

Steps to reproduce

I am pasting the code that I used but the changes that I am working on are still not merged into mlpack.
However, I am also pasting the best parameters and results that I go

igel
nidhaloff
nidhaloff commented Aug 22, 2021

Description

We want to add support for RNNs. I will let this issue open for people who want to contribute to this project.
My suggestion would be just to write RNN (or any other RNN-like model) in the algorithm field in order to use an RNN model. Here is an example to illustrate what I mean:

model:
     type: classification
     algorithm: RNN
    .
    . 

**If you a

Wikipedia
Wikipedia