-
Updated
Oct 16, 2020 - Python
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 193 public repositories matching this topic...
-
Updated
Oct 14, 2020 - C++
-
Updated
Feb 8, 2020 - Python
-
Updated
Jun 5, 2019 - Python
-
Updated
Oct 14, 2020 - Python
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
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.
-
Updated
May 19, 2020 - Python
-
Updated
Jul 17, 2020 - Python
-
Updated
Oct 8, 2020 - Python
-
Updated
Oct 12, 2020 - Java
-
Updated
May 30, 2020 - Python
-
Updated
Oct 15, 2020 - Python
-
Updated
Aug 29, 2016 - Python
-
Updated
Sep 23, 2020 - Python
-
Updated
Jun 14, 2017 - Python
-
Updated
Oct 28, 2018
-
Updated
Sep 25, 2020 - JavaScript
-
Updated
Jun 23, 2020 - Python
-
Updated
Aug 15, 2020 - Java
-
Updated
Oct 11, 2020 - Python
-
Updated
Oct 13, 2020 - Java
-
Updated
Aug 28, 2018 - Swift
-
Updated
Oct 15, 2020 - Java
-
Updated
Aug 30, 2020 - Jupyter Notebook
-
Updated
Jul 1, 2019 - Python
-
Updated
Oct 5, 2020 - R
-
Updated
Jun 24, 2018 - Python
- Wikipedia
- Wikipedia
What is the desired addition or change?
It would be nice to have some time series methods. Like
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