使用深度随机森林实现对数据的分类，无论数据特征是数值型的还是符号型的。
资源文件列表
Deep Forest Towards An Alternative to Deep Neural Networks.pdf , 2058158
datasets/gtzan/get_data.sh , 1033
datasets/gtzan/splits/blues.train , 1680
datasets/gtzan/splits/blues.trainval , 2400
datasets/gtzan/splits/blues.val , 720
datasets/gtzan/splits/classical.train , 2240
datasets/gtzan/splits/classical.trainval , 3200
datasets/gtzan/splits/classical.val , 960
datasets/gtzan/splits/country.train , 1960
datasets/gtzan/splits/country.trainval , 2800
datasets/gtzan/splits/country.val , 840
datasets/gtzan/splits/disco.train , 1680
datasets/gtzan/splits/disco.trainval , 2400
datasets/gtzan/splits/disco.val , 720
datasets/gtzan/splits/genre.train , 17360
datasets/gtzan/splits/genre.trainval , 24800
datasets/gtzan/splits/genre.val , 7440
datasets/gtzan/splits/genres.trainval , 22800
datasets/gtzan/splits/hiphop.train , 1820
datasets/gtzan/splits/hiphop.trainval , 2600
datasets/gtzan/splits/hiphop.val , 780
datasets/gtzan/splits/jazz.train , 1540
datasets/gtzan/splits/jazz.trainval , 2200
datasets/gtzan/splits/jazz.val , 660
datasets/gtzan/splits/metal.train , 1680
datasets/gtzan/splits/metal.trainval , 2400
datasets/gtzan/splits/metal.val , 720
datasets/gtzan/splits/pop.train , 1400
datasets/gtzan/splits/pop.trainval , 2000
datasets/gtzan/splits/pop.val , 600
datasets/gtzan/splits/reggae.train , 1820
datasets/gtzan/splits/reggae.trainval , 2600
datasets/gtzan/splits/reggae.val , 780
datasets/gtzan/splits/rock.train , 1540
datasets/gtzan/splits/rock.trainval , 2200
datasets/gtzan/splits/rock.val , 660
datasets/uci_adult/features , 1156
datasets/uci_adult/get_data.sh , 1119
datasets/uci_letter/get_data.sh , 1063
datasets/uci_semg/get_data.sh , 1111
datasets/uci_yeast/get_data.sh , 1039
datasets/uci_yeast/yeast.label , 68
lib/gcforest/cascade/cascade_classifier.py , 13270
lib/gcforest/cascade/__init__.py , 0
lib/gcforest/datasets/cifar10.py , 2482
lib/gcforest/datasets/ds_base.py , 3433
lib/gcforest/datasets/ds_pickle.py , 2079
lib/gcforest/datasets/ds_pickle2.py , 1507
lib/gcforest/datasets/gtzan.py , 4512
lib/gcforest/datasets/imdb.py , 3771
lib/gcforest/datasets/mnist.py , 2408
lib/gcforest/datasets/olivetti_face.py , 2072
lib/gcforest/datasets/uci_adult.py , 4180
lib/gcforest/datasets/uci_letter.py , 2057
lib/gcforest/datasets/uci_semg.py , 3075
lib/gcforest/datasets/uci_yeast.py , 2862
lib/gcforest/datasets/__init__.py , 2247
lib/gcforest/data_cache.py , 5599
lib/gcforest/estimators/base_estimator.py , 5484
lib/gcforest/estimators/est_utils.py , 1937
lib/gcforest/estimators/kfold_wrapper.py , 8171
lib/gcforest/estimators/sklearn_estimators.py , 2598
lib/gcforest/estimators/__init__.py , 1890
lib/gcforest/exp_utils.py , 6649
lib/gcforest/fgnet.py , 7098
lib/gcforest/layers/base_layer.py , 2730
lib/gcforest/layers/fg_concat_layer.py , 2669
lib/gcforest/layers/fg_pool_layer.py , 3976
lib/gcforest/layers/fg_win_layer.py , 6992
lib/gcforest/layers/__init__.py , 1785
lib/gcforest/utils/audio_utils.py , 1885
lib/gcforest/utils/cache_utils.py , 107
lib/gcforest/utils/config_utils.py , 1834
lib/gcforest/utils/debug_utils.py , 219
lib/gcforest/utils/log_utils.py , 1361
lib/gcforest/utils/metrics.py , 923
lib/gcforest/utils/win_utils.py , 2886
lib/gcforest/utils/__init__.py , 0
lib/gcforest/__init__.py , 0
models/cifar10/gcforest/fg-tree500-depth100-3folds-ca.json , 2877
models/cifar10/gcforest/fg-tree500-depth100-3folds.json , 3742
models/gtzan/gcforest/ca-tree500-n4x2-3folds.json , 2282
models/gtzan/gcforest/fg-tree500-depth100-3folds-ca.json , 2674
models/gtzan/gcforest/fg-tree500-depth100-3folds.json , 3587
models/imdb/gcforest/ca-tree500-n4x2-3folds.json , 2274
models/mnist/gcforest/ca-tree500-n4x2-3folds.json , 2239
models/mnist/gcforest/fg-tree500-depth100-3folds-ca.json , 2790
models/mnist/gcforest/fg-tree500-depth100-3folds.json , 3822
models/uci_adult/gcforest/ca-tree500-n4x2-3folds.json , 2291
models/uci_letter/gcforest/ca-tree500-n4x2-3folds.json , 2251
models/uci_semg/gcforest/ca-tree500-n4x2-3folds.json , 2247
models/uci_semg/gcforest/fg-tree500-depth100-3folds-ca.json , 2761
models/uci_semg/gcforest/fg-tree500-depth100-3folds.json , 3658
models/uci_yeast/gcforest/ca-tree500-n4x2-3folds.json , 2250
README.txt , 12824
requirements.txt , 86
tools/audio/cache_feature.py , 3895
tools/train_cascade.py , 2387
tools/train_fg.py , 3209
tools/train_xgb.py , 3039