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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.

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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 28, 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 Sep 11, 2021

Description

We want to add support for auto ML. My suggestion is to use autokeras. I'm letting this open for newcomers who want to contribute to this project.

The parameters of the model need to be read from a yaml file (check utils.py in igel, there is a helper function to read a yaml or json file). These parameters will be used to construct and train a model. The results should be th

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