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Сейчас еще пробую StochasticRank, в целом неплохие результаты получаются, но жаль что он не поддерживает использование GPU
Size: a a a
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CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0
CUDA_PATH_V10_2=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2
CUDA_PATH_V11_0=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0
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evaluator.eval_features уходит в бесконечный цикл. Запускал из вашего примера:IL
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catboost/private/libs/feature_estimator/feature_estimator.h:35: Attempt to call single feature writer on packed feature writerv. 0.25
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File "/root/.pyenv/versions/3.8.6/lib/python3.8/site-packages/catboost/core.py", line 4302, in fit
self._fit(X, y, cat_features, text_features, embedding_features, None, sample_weight, None, None, None, None, baseline, use_best_model,
File "/root/.pyenv/versions/3.8.6/lib/python3.8/site-packages/catboost/core.py", line 1806, in _fit
self._train(
File "/root/.pyenv/versions/3.8.6/lib/python3.8/site-packages/catboost/core.py", line 1258, in _train
self._object._train(train_pool, test_pool, params, allow_clear_pool, init_model._object if init_model else None)
File "_catboost.pyx", line 4156, in _catboost._CatBoost._train
File "_catboost.pyx", line 4205, in _catboost._CatBoost._train
_catboost.CatBoostError: catboost/private/libs/feature_estimator/feature_estimator.h:35: Attempt to call single feature writer on packed feature writer
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