Comments (3)
https://stackoverflow.com/tags/catboost/info
from catboost.
Thanx! I approved this tag to my question where https://stackoverflow.com/questions/45165532/how-to-install-yandex-catboost-on-anaconda-x64
from catboost.
Instructions for contributors can be found in our documentation here:
https://tech.yandex.com/catboost/doc/dg/concepts/development-and-contributions-docpage/
Thanks a lot for helping with the tag! Tag is created, so I'm closing the issue.
from catboost.
Related Issues (20)
- mimalloc hijacks alloc/free outside of just catboost HOT 6
- getting CatBoostError: Invalid cat_features[6] = 22 value: index must be < 22 but len(x_train.columns) is 23 HOT 1
- /src/catboost/catboost/libs/metrics/metric.cpp:6745: All train targets are equal HOT 1
- Caret object: Inconsistent grid creation with documentation HOT 3
- Error: catboost metric [MultiLogloss] and loss [HammingLoss] are incompatible HOT 1
- [spark] ai.catboost.CatBoostError: CatBoost Master process failed: exited with code 134 HOT 2
- The difference ranking result in the python and libcatboost by max_relevance times HOT 1
- Pool Creation Error - TypeError: must be real number, not NoneType HOT 1
- Typo in docstring of Python package catboost.CatBoostRegressor.grid_search() HOT 1
- Implementing custom multi quantile loss. HOT 6
- Get all candidate splits for catboosttregressor HOT 2
- Error java.lang.OutOfMemoryError: GC overhead limit exceeded HOT 2
- how to do ordered target statistic in prediction HOT 2
- "RuntimeError: Attempt to pop from an empty stack" is raised when running models fit in parallel with threads. HOT 5
- Python package--build from source failed HOT 10
- Different Between PairLogitPairwise and PairLogit and Impact on Categorical Values HOT 1
- Val in CatBoost's plot_tree HOT 1
- Major difference between predictions from trained model HOT 4
- "Plain" train mode still build the oblivious tree HOT 3
- Question for building ordered boosting tree
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