C:\ProgramData\Anaconda3\lib\site-packages\lightgbm\basic.py:1555: UserWarning: categorical_feature in Dataset is overridden.
New categorical_feature is ['C01', 'C02', 'C03', 'C04', 'C05', 'C06', 'C07', 'C08', 'C09', 'C10', 'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19', 'C20', 'C21', 'C22', 'C23', 'C24', 'C25', 'C26']
  'New categorical_feature is {}'.format(sorted(list(cate

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],
 

Whenever CLI process gets interrupted or killed, CDP driver must (and used to) close all open tabs.
It stopped doing this.

I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.

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

• Time series forest

Describe the solution you'd like

• Replace loops with joblib parallelized computations or numba.