It may be good to provide pure Python implementation of Gradient Descent (instead of SciPy one) for Logistic Regression just for the learning purposes.

My feature request is to include an option on a button made from choice skill, to redirect a link to an external url...

Here's a detailed explanation including screenshots

https://help.botpress.io/t/how-to-redirect-to-an-external-url-while-using-a-button-made-in-choice-skill/1791

This option will be really beneficial using choice skill buttons since at the moment, you can only add an ext

it is really great code , only how to run it
MLAlgorithms/mla/fm.py
may you add example , as you did for other models?

i'm a newbie in programming. I try to use this library. it's very useful for me.
I want to show centroid in K-means clustering. how to show it? thank u so much..

is it Grid Search can solve CASH problems with NNI , it seems that it is usually used for hyper-parameters optimization, have you guys have finished some revision for Grid Search for solving CASH problems.

about Cash problems can refer to ：microsoft/nni#1178

The iloc in cudf documentation for 0.12 and 0.13 shows:

>>> df = DataFrame([('a', list(range(20))),
...                 ('b', list(range(20))),
...                 ('c', list(range(20)))])

https://rapidsai.github.io/projects/cudf/en/0.12.0/api.html#cudf.core.dataframe.DataFrame.iloc
https://rapidsai.github.io/projects/cudf/en/0.13.0/api.html#cudf.core.dataframe.DataFrame.iloc
which

Hello,
I am building a QGIS plugin and would like to add hdbscan in methods. But when I import with OSGEO4W shell it failed at this line:
File "C:\OSGeo4W\apps\Python37\lib\site-packages\hdbscan-0.8.22-py3.7-win32.egg\hdbscan_init_.py", line 1, in
from .hdbscan_ import HDBSCAN, hdbscan
File "C:\OSGeo4W\apps\Python37\lib\site-packages\hdbscan-0.8.22-py3.7-win32.egg\hdbscan\h

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.

Should implement both the class-based StandardScaler API and scale, which is the functional version. Matching sklearn API and using cuPy.

Describe the bug

In StellarGraph, some algorithms are in demo notebooks or scripts, without being listed in our main documentation. This could mean that a user reading our docs thinks they're not supported in StellarGraph.

Hello,

Without any delays, I will begin explaining the bug on TimeSeriesKMeans function.

At the moment, I am handling a dataset with several time series having different lengths.
When I try to cluster this time series by means of the dtw or soft-dtw metrics, and despite n_cluster parameter, the model predicts at max two clusters, in other situations, assigns all the time series to the same

• The median heuristic function utils.medianHeuristic is missing in the pytorch branch. Please copy it to edgeml_pytorch.utils.
• It is being called from here when you run the example. That is