excluded_model_types = ['KNN','NN','custom'] predictor_light = TabularPredictor(label=label, eval_metric=metric).fit(train_data, excluded_model_types=excluded_model_types, time_limit=30, presets=presets,hyperparameters='very_light') 碰到内存不够怎么办 设置num_bag_sets = 1(也可以尝试大于1...
试验性质的model: ‘FASTTEXT’ (FastText) ‘AG_TEXT_NN’ (Multimodal Text+Tabular model, GPU is required) ‘TRANSF’ (Tabular Transformer, GPU is recommended) 如果在hyperparameters设置模型时,忽略设置某个model的key,则表明该模型不加入训练,等价于该模型被放在了excluded_model_types中。
fit(train_data=train_data, excluded_model_types=excluded_model_types, time_limit=3600, ag_args_fit={'num_gpus': 1} ) predictions = predictor.predict_proba(test_data) 代码语言:javascript 复制 # 查看集成的单模型的表现 predictor.leaderboard(test_data, silent=True) predictor.feature_importance(...
Hyperparameters: {'learning_rate': 0.1000260297171191, 'feature_fraction': 0.8694162793303375, 'min_data_in_leaf': 48, 'num_leaves': 53} Saving AutogluonModels\ag-20240816_044559\models\LightGBM\T5\model.pkl 100%|████████████████████████████████████...
{'enable_ensemble': True, 'eval_metric': WQL, 'excluded_model_types': ['DirectTabular'], 'hyperparameters': 'default', 'known_covariates_names': ['income', 'weekend', 'holiday'], 'num_val_windows': 2, 'prediction_length': 360, 'quantile_levels': [0.1, 0.2, 0.3, 0.4, 0.5, ...
['Symmetry_D8']These features carry no predictive signal and should be manually investigated.This is typically a feature which has the same valueforall rows.These featuresdonot need to be present at inference time.Typesoffeaturesinoriginaldata(raw dtype,special dtypes):('float',[]):14|['chern...
关于predict.显示的模型一般是最优模型,而最优模型可由predictor.get_model_best()获得 训练模型(加入验证集) 代码语言:javascript 复制 # 加载训练集 from autogluon.tabularimportTabularDataset,TabularPredictorimportnumpyasnp train_data=TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv'...
self.hyperparameters = self._process_hyperparameters(hyperparameters=hyperparameters, ag_args_fit=ag_args_fit, excluded_model_types=excluded_model_types) 1. 获取模型 models = self.get_models(hyperparameters=self.hyperparameters, hyperparameter_tune=hyperparameter_tune, level=0) ...
excluded_model_types:去掉某些已知的训练比较慢的模型 presets :跟上面精度提高的类似,不过是选用了不同的参数以达到不同的效果 presets = ['good_quality_faster_inference_only_refit','optimize_for_deployment'] predictor_light = TabularPredictor(label=label, eval_metric=metric).fit(train_data, presets=pr...
['Symmetry_D8']These features carry no predictive signal and should be manually investigated.This is typically a feature which has the same valueforall rows.These featuresdonot need to be present at inference time.Typesoffeaturesinoriginaldata(raw dtype,special dtypes):('float',[]):14|['chern...