XGBoostRegressorMultiTarget增加计算量
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@ -117,9 +117,9 @@
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"shuffle": false
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},
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"model_training_parameters": {
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"n_estimators": 200,
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"n_estimators": 400,
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"learning_rate": 0.01,
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"max_depth": 6,
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"max_depth": 8,
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"min_child_weight": 1,
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"subsample": 0.8,
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"colsample_bytree": 0.8,
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@ -114,9 +114,9 @@
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"shuffle": false
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},
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"model_training_parameters": {
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"n_estimators": 200,
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"n_estimators": 400,
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"learning_rate": 0.01,
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"max_depth": 6,
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"max_depth": 8,
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"min_child_weight": 1,
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"subsample": 0.8,
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"colsample_bytree": 0.8,
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@ -117,9 +117,9 @@
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"shuffle": false
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},
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"model_training_parameters": {
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"n_estimators": 200,
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"n_estimators": 400,
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"learning_rate": 0.01,
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"max_depth": 6,
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"max_depth": 8,
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"min_child_weight": 1,
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"subsample": 0.8,
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"colsample_bytree": 0.8,
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@ -47,14 +47,14 @@
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},
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"freqai": {
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"model_training_parameters": {
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"n_estimators": 200,
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"learning_rate": 0.01,
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"max_depth": 6,
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"min_child_weight": 1,
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"subsample": 0.8,
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"colsample_bytree": 0.8,
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"verbosity": 0
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}
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"n_estimators": 400,
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"learning_rate": 0.01,
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"max_depth": 8,
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"min_child_weight": 1,
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"subsample": 0.8,
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"colsample_bytree": 0.8,
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"verbosity": 0
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}
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},
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"ft_stratparam_v": 1,
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"export_time": "2025-12-15 14:19:00.824138+00:00"
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