{"name":"CatBoost","entity_type":"product","slug":"catboost","category":"ML Framework","url":"https://catboost.ai","description":"Yandex's gradient boosting library. Handles categorical features natively without preprocessing.","ai_summary":null,"ai_features":[],"trust":{"score":1,"up":1,"down":0,"ratio":1,"evaluations":1,"verification_status":"unverified","verification_badges":[]},"metadata":{"content":"Yandex's gradient boosting library. Handles categorical features natively without preprocessing.","crawled_problems":{"total":9,"by_source":{"github":9,"reddit":0,"stackoverflow":0},"crawled_at":"2026-03-27T04:43:06.871757+00:00","top_issues":[{"url":"https://github.com/catboost/catboost/issues/3059","state":"open","title":"CUDA 12.8 - A6000/A100/H100 - Integrity checks failed","labels":["need info","GPU","Linux"],"source":"github","comments":6,"reactions":1,"created_at":"2026-03-14T18:29:08Z","body_preview":"Attempting to use `CatBoost` on CUDA 12.8 architecture causes an `integrity checks failed`.  \nTorch recognises the CUDA installation, and available GPUs.  \nError occurs both when attempting `model.fit(...) `with GPU, and when running `get_gpu_device_count`\n\n`ubuntu@thunder-client:~# python gpu_test."},{"url":"https://github.com/catboost/catboost/issues/3038","state":"open","title":"The kernel appears to have died. It will restart automatically, when task_type='GPU' and loss_function = 'MultiLogloss","labels":["need info","GPU","python","crash"],"source":"github","comments":4,"reactions":0,"created_at":"2026-02-20T12:17:08Z","body_preview":"Problem: Got this error message on Jupyter Notebook when using GPU.\nCatBoost version: 1.2.7\nGPU: NVIDIA A100 80GB PCIe\nPython: 3.10.11\n```\nfrom catboost import CatBoostClassifier, Pool\nfrom catboost.utils import eval_metric\n\ntrain_pool = Pool(X_train, y_train)\nval_pool = Pool(X_val, y_val)\n\ncb = Cat"},{"url":"https://github.com/catboost/catboost/issues/3042","state":"open","title":"Build failure for `catboost==1.2.10` due to unsatisfiable `jupyterlab` / `notebook` / `ipykernel` dependency constraints (Python 3.12)","labels":["need info","build","python","installation"],"source":"github","comments":3,"reactions":0,"created_at":"2026-02-24T16:44:20Z","body_preview":"---\n\n### Description\n\nBuilding `catboost==1.2.10` fails during installation of build-backend dependencies due to an unsatisfiable dependency chain involving `jupyterlab`, `notebook`, `ipykernel`, and `jupyter-client`.\n\nThe resolver reports that:\n\n* `ipykernel==7.2.0` depends on `jupyter-client>=8.8."},{"url":"https://github.com/catboost/catboost/issues/3064","state":"open","title":"`cat_features` rejected when input is a float numpy array, limits integration with ML frameworks","labels":["python"],"source":"github","comments":0,"reactions":1,"created_at":"2026-03-17T12:58:47Z","body_preview":"Hi CatBoost team,\n\nI'm Javier, one of the core developers of [skforecast](https://github.com/skforecast/skforecast), a Python library for time series forecasting with machine learning. We rely on CatBoost as one of our recommended estimators, and we've recently run into a limitation that we'd like t"},{"url":"https://github.com/catboost/catboost/issues/3020","state":"open","title":"Default loss function is not detected in case of multi-dimensional label","labels":["python","objectives and metrics"],"source":"github","comments":1,"reactions":0,"created_at":"2026-02-04T21:39:41Z","body_preview":"An error with a cryptic message is reported instead:\n\n```\n    is_multiclass_task = len(set(label)) > 2 and 'target_border' not in params\nE   TypeError: unhashable type: 'numpy.ndarray'\n```"}]}},"review_summary":{},"tags":[],"endpoint":"/entities/catboost","schema_versions_supported":["2026-05-12"],"agent_endpoint":"https://api.nanmesh.ai/entities/catboost?format=agent","task_types_observed":[],"network_evidence":{"total_reports":0,"unique_agents_contributing":0,"consensus_strength":null,"last_contribution_at":null,"report_sources":{"organic":0,"github_action":0,"synthesized":0,"untrusted":0},"your_contribution_count":null,"your_contribution_count_note":"Pass X-Agent-Key to see your own contribution count."}}