Target Leakage in mentioned steps in Data Preprocessing. Train/test split needs to be before missing value imputation. Else you will have a bias in test/eval/serve.

Vectorized version of gradient descent.

theta = theta * reg_param - alpha * (1 / num_examples) * (delta.T @ self.data).T

We should NOT regularize the parameter theta_zero.

theta[0] = theta[0] - alpha * (1 / num_examples) * (self.data[:, 0].T @ delta).T

the first code line ,theta include theta[0].
so I think can write like this:
theta[0] -= alpha * (1 / num_examples) * (self.data[:, 0].

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

Is your feature request related to a problem? Please describe.

When setting up large data pipelines, e.g., manually shuffling out-of-memory bits in-and-out, it'd be quite helpful to know how many bytes a Series and DataFrame are, esp. when created from a method such as load_csv.

The current inference work around is a longer version of:

my_sizeof(df):
  sum = 0
  for c in

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

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

Report incorrect documentation

Hi,

It looks like the title of the cuml.neighbors.KNeighborsRegressor class is incorrect.

I think it should say Nearest Neighbors Regression, instead of Nearest Neighbors Classification.

Hope it helps!

Miguel

**Location of inc

The book and the repository are very useful Andriy, thanks for all your work.
I was reviewing this repo and at first sight, I felt some examples might not run due to hardcoded paths.

For example https://github.com/aburkov/theMLbook/blob/master/kmeans.py#L125
This directory might not be present.

We can probably assign an illustration directory within this repo.

Description

Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.

This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/

It would be useful for the community to also provide the UCR/UEA Multivariate Time Series Classification (MultivariateTSCProblems) datasets from www.timeseriesclassification.com, even if most algorithms in tslearn cannot handle multivariate TS (yet).

The main issue with this dataset is that the ARFF format is difficult to load in Python. I personally tried a bunch of libraries (scipy, arff, lia

• 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