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gcforest

  • Category : Mathimatics-Numerical algorithms
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  • Update : 2017-12-14
  • Size : 1.57mb
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  • Author :leo***
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Introduction - If you have any usage issues, please Google them yourself
Using a deep random forest to implement the classification of data, whether the data features are numerical or symbolic.
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FilenameSizeUpdate
Deep Forest Towards An Alternative to Deep Neural Networks.pdf 2058158 2017-11-08
datasets
datasets\gtzan
datasets\gtzan\get_data.sh 1033 2017-05-26
datasets\gtzan\splits
datasets\gtzan\splits\blues.train 1680 2017-05-22
datasets\gtzan\splits\blues.trainval 2400 2017-05-22
datasets\gtzan\splits\blues.val 720 2017-05-22
datasets\gtzan\splits\classical.train 2240 2017-05-22
datasets\gtzan\splits\classical.trainval 3200 2017-05-22
datasets\gtzan\splits\classical.val 960 2017-05-22
datasets\gtzan\splits\country.train 1960 2017-05-22
datasets\gtzan\splits\country.trainval 2800 2017-05-22
datasets\gtzan\splits\country.val 840 2017-05-22
datasets\gtzan\splits\disco.train 1680 2017-05-22
datasets\gtzan\splits\disco.trainval 2400 2017-05-22
datasets\gtzan\splits\disco.val 720 2017-05-22
datasets\gtzan\splits\genre.train 17360 2017-05-22
datasets\gtzan\splits\genre.trainval 24800 2017-05-22
datasets\gtzan\splits\genre.val 7440 2017-05-22
datasets\gtzan\splits\genres.trainval 22800 2017-05-22
datasets\gtzan\splits\hiphop.train 1820 2017-05-22
datasets\gtzan\splits\hiphop.trainval 2600 2017-05-22
datasets\gtzan\splits\hiphop.val 780 2017-05-22
datasets\gtzan\splits\jazz.train 1540 2017-05-22
datasets\gtzan\splits\jazz.trainval 2200 2017-05-22
datasets\gtzan\splits\jazz.val 660 2017-05-22
datasets\gtzan\splits\metal.train 1680 2017-05-22
datasets\gtzan\splits\metal.trainval 2400 2017-05-22
datasets\gtzan\splits\metal.val 720 2017-05-22
datasets\gtzan\splits\pop.train 1400 2017-05-22
datasets\gtzan\splits\pop.trainval 2000 2017-05-22
datasets\gtzan\splits\pop.val 600 2017-05-22
datasets\gtzan\splits\reggae.train 1820 2017-05-22
datasets\gtzan\splits\reggae.trainval 2600 2017-05-22
datasets\gtzan\splits\reggae.val 780 2017-05-22
datasets\gtzan\splits\rock.train 1540 2017-05-22
datasets\gtzan\splits\rock.trainval 2200 2017-05-26
datasets\gtzan\splits\rock.val 660 2017-05-22
datasets\uci_adult
datasets\uci_adult\features 1156 2017-05-22
datasets\uci_adult\get_data.sh 1119 2017-05-26
datasets\uci_letter
datasets\uci_letter\get_data.sh 1063 2017-05-26
datasets\uci_semg
datasets\uci_semg\get_data.sh 1111 2017-05-26
datasets\uci_yeast
datasets\uci_yeast\get_data.sh 1039 2017-05-26
datasets\uci_yeast\yeast.label 68 2017-05-22
lib
lib\gcforest
lib\gcforest\cascade
lib\gcforest\cascade\cascade_classifier.py 13270 2017-05-25
lib\gcforest\cascade\__init__.py
lib\gcforest\datasets
lib\gcforest\datasets\cifar10.py 2482 2017-05-25
lib\gcforest\datasets\ds_base.py 3433 2017-05-25
lib\gcforest\datasets\ds_pickle.py 2079 2017-05-25
lib\gcforest\datasets\ds_pickle2.py 1507 2017-05-25
lib\gcforest\datasets\gtzan.py 4512 2017-05-25
lib\gcforest\datasets\imdb.py 3771 2017-05-25
lib\gcforest\datasets\mnist.py 2408 2017-05-25
lib\gcforest\datasets\olivetti_face.py 2072 2017-05-25
lib\gcforest\datasets\uci_adult.py 4180 2017-05-25
lib\gcforest\datasets\uci_letter.py 2057 2017-05-25
lib\gcforest\datasets\uci_semg.py 3075 2017-05-25
lib\gcforest\datasets\uci_yeast.py 2862 2017-05-25
lib\gcforest\datasets\__init__.py 2247 2017-05-25
lib\gcforest\data_cache.py 5599 2017-05-25
lib\gcforest\estimators
lib\gcforest\estimators\base_estimator.py 5484 2017-05-25
lib\gcforest\estimators\est_utils.py 1937 2017-05-25
lib\gcforest\estimators\kfold_wrapper.py 8171 2017-05-25
lib\gcforest\estimators\sklearn_estimators.py 2598 2017-05-25
lib\gcforest\estimators\__init__.py 1890 2017-05-25
lib\gcforest\exp_utils.py 6649 2017-05-25
lib\gcforest\fgnet.py 7098 2017-05-25
lib\gcforest\layers
lib\gcforest\layers\base_layer.py 2730 2017-05-25
lib\gcforest\layers\fg_concat_layer.py 2669 2017-05-25
lib\gcforest\layers\fg_pool_layer.py 3976 2017-05-25
lib\gcforest\layers\fg_win_layer.py 6992 2017-05-25
lib\gcforest\layers\__init__.py 1785 2017-05-25
lib\gcforest\utils
lib\gcforest\utils\audio_utils.py 1885 2017-05-22
lib\gcforest\utils\cache_utils.py 107 2017-05-22
lib\gcforest\utils\config_utils.py 1834 2017-05-24
lib\gcforest\utils\debug_utils.py 219 2017-05-22
lib\gcforest\utils\log_utils.py 1361 2017-05-22
lib\gcforest\utils\metrics.py 923 2017-05-24
lib\gcforest\utils\win_utils.py 2886 2017-05-24
lib\gcforest\utils\__init__.py
lib\gcforest\__init__.py
models
models\cifar10
models\cifar10\gcforest
models\cifar10\gcforest\fg-tree500-depth100-3folds-ca.json 2877 2017-05-26
models\cifar10\gcforest\fg-tree500-depth100-3folds.json 3742 2017-05-26
models\gtzan
models\gtzan\gcforest
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