CatBoost_ Learning records

Time:2022-5-3

reference resources:

​​​​​​CatBoost – open-source gradient boosting library

The most detailed catboost parameter explanation and example application_ The same name of the whole network: Xiaobai’s blog in the code world – blog_ Catboost parameter

use

Routines for classification problems:

catboost/classification_tutorial.ipynb at master · catboost/catboost (github.com)

input

Pool is a form used to organize data in catboost. It can also use numpy array and dataframe. But pool is more recommended. It has better memory and speed

parameter

General parameters

Common parameters – Training parameters | CatBoost

Adjusting parameters

Parameter tuning | CatBoost​​​​​​​​​​​​​​