AutoX
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4paradigm
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/recalls/history_recall.py
I would like to ask if AutoX has any plans for sample selection? Now many data sets are so large that the computing power of individuals and small companies cannot...
请求增加一种新的
# Welcome update to OpenMMLab 2.0 I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial...
Mac中 lightgbm==3.3.2.99， lightgbm.train不再包含verbose_eval和early_stopping_rounds接口，改用callbacks接口，调用lgb模型时会报错 ``` File ~/miniforge3/envs/lx/lib/python3.9/site-packages/autox/autox_competition/models/regressor_ts.py:231, in LgbRegressionTs.fit(self, train, test, used_features, target, time_col, ts_unit, Early_Stopping_Rounds, N_round, Verbose, log1p, custom_metric, weight_for_mae) 226 model = lgb.train(self.params_, trn_data, num_boost_round=self.N_round, valid_sets=[trn_data, val_data], 227 verbose_eval=self.Verbose,...
