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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 Oct 20, 2020
  • Python
alexhallam
alexhallam commented Oct 10, 2020

What is the desired addition or change?

It would be nice to have some time series methods. Like

  1. naive
  2. seasonal naive
  3. seasonal trend loess decomposition.
  4. Holt Winters
  5. Exponential smoothing
  6. Arima

Since many time series come in groups it may be useful to think about how the data should be organized to take in many time series and account for seasonality. Also prob

igel
evelynmitchell
evelynmitchell commented Oct 9, 2020

https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.

readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif

The sphinx build needs to point to the asset directory, absolutely:

.. image:: /assets/igel-help.gif

I haven't made a patch, because I haven't

StrikerRUS
StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

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