As of now, no.
Hey, Am I right that today will be published version 1.0.5 with m1 support? Thanks
When doing multiregression, i.e. multiple target values in catboost regression, is there a difference between using one model per target value vs using one model for all targe...
Dear team, I'm working on a project in which i have an imbalance dataset, To train a model i did the train test split based on y, did the stratified cross validation for mod...
Hi! I'm trying to distill a NN model into a catboost model. For this I need to provide class prediction logits as targets and use crossentropy as the loss. I'm not sure how ...
Clickbait headline: Don't try to tune the learning rate or the number of iterations... 😸😸😸 But seriously, If overfit or underfit bothers you that much, just watch our new vi...
Hi folks, I was training a classifier model with some custom training params - feature_weights and per_float_feature_quantization. Does anyone know if this is supported in c++...
Hi there, I wanted to ask: is there a way to include an adjacency matrix as a feature in CatBoost? I want to use CatBoost rather than a graph neural network as I would also li...
Hi all, very excited to join this group. I have been a lgbm user for a long time and amazed at what catboost is capable of doing. Catboost gets very close to my tuned lgbm mod...
🤓 Do you know that sometimes training or applying models on CPU may be faster than GPU? In new short video @kizill explains how it is possible: https://youtu.be/VrtSrRkO9EI?t=...
Hi, about CatBoostRegressor and prediction_type='Probability' pred = model.predict(x_eval, prediction_type='Probability') dfpred = pd.DataFrame(pred, columns=["col1", "col2"...
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