Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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Updated
Sep 9, 2020 - C++
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],
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This project's documentation includes a list of winning solutions for machine learning competitions which used LightGBM.
https://github.com/microsoft/LightGBM/tree/master/examples#machine-learning-challenge-winning-solutions
With one exception (), this has not been updated since December 2019.
How to close this issue
Look through "completed" competitions (from December 2019 to now)