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I encounter error: Application terminated with error: ??+0 (0x709D9F003D8A) ??+0 (0x709D9E884BA4) ??+0 (0x709D9E9F388C) ??+0 (0x709D9FF2FCF5) ??+0 (0x709D9FF31448) ??+0 (0x709D9EB84E21) ??+0 (...
Mr.kitty's user avatar
1 vote
0 answers
82 views

I've trained a couple of CatBoost models on my windows pc for both classification and regression targets. However, I'm having trouble installing the necessary dependencies on my Raspberry Pi 5 to ...
BTBeinj's user avatar
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1 answer
108 views

As the title says, I'm trying to increment a variable after each training iteration using the Catboost Classifier, to update a progress bar in a gui, and I can't seem to find anything about it on the ...
Luca Spengler's user avatar
3 votes
1 answer
93 views

I've been trying to concatenate TF-IDF data with categorical data. However, when concatenating, the categorical data is automatically converted to float by default. Since CatBoost doesn't support ...
Perinban Parameshwaran's user avatar
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1 answer
166 views

I am creating a catboost pool from a pandas dataframe (columns have strings as names, not sure if thats relevant) and then quantizing it and saving to disk using this code: import catboost as cb ...
helloimgeorgia's user avatar
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164 views

I am comparing models in a walk forward cross validation setup, under python 3.11. For a given set of hyperparameters, xgboost and LGBM models size (when pickled or saved using the library saving ...
g0bel1n's user avatar
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2 answers
314 views

I am trying to tune CatBoost's hyperparameters using Optuna. I need to train my CatBoost model using batches, because training data is too big. Here is my code: def expand_embeddings(df, embedding_col=...
Angelika's user avatar
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1 answer
286 views

I have a sagemaker process for training and running inference on data in sagemaker: processing job: read input csv files from s3 and clean up the data, output csv files to s3 processing job: read in ...
Olek's user avatar
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1 answer
162 views

I want to tune a regressor catboost using Optuna and local GPU. The dataset is not very large: the training sample contains about 120k records and only 16 features (including categorical ones). I run ...
Anastasia Volkova's user avatar
1 vote
0 answers
82 views

I am trying to create a CatBoostClassifier using catboost_spark. In the regular Catboost package, parameters such as learning_rate, loss_function, num_leaves, etc. can be included when creating the ...
user27360168's user avatar
1 vote
1 answer
643 views

I was trying to install catboost, and everything was going well until I decided to upgrade to Python 3.12. After the upgrade, I encountered an error when I tried to import it: numpy.dtype size changed,...
Mohamed Kardosha's user avatar
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1 answer
381 views

I fitted a simple binary classification model with only 3 trees and wanted to check if feature importance results are similar to the formula in Catboost documentation (PredictionValuesChange). After ...
Mageentta's user avatar
1 vote
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151 views

For many methods in CatBoost, for example: plot_tree(tree_idx, pool=None)has an optional argument of pool. This argument becomes required if there are any one-hot encoded categorical variables. ...
Arif Zaman's user avatar
2 votes
2 answers
6k views

I am using Numpy version 2.x. I get this error: from catboost import CatBoostClassifier File "_catboost.pyx", line 1, in init _catboost ValueError: numpy.dtype size changed, may indicate ...
Emrah Yılmaz's user avatar
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0 answers
356 views

I am trying to follow this tutorial which helps serve a catboost model using rust. The installation of the catboost package is proving to be a challenge here. I have tried doing cargo install --git &...
Abinav R's user avatar
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