A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
BSD-3-CLAUSE License
Published by xuyxu about 2 years ago
NeuralForestClassifier
and NeuralForestRegressor
| @xuyxuand
BaggingRegressor` | @SunHaozhe and @FedericoVPublished by xuyxu almost 3 years ago
Published by xuyxu about 3 years ago
save_model
for soft gradient boosting | @xuyxuSoftGradientBoostingClassifier
and SoftGradientBoostingRegressor
| @xuyxuPublished by xuyxu over 3 years ago
Published by xuyxu over 3 years ago
SoftGradientBoostingClassifier
and SoftGradientBoostingRegressor
| @xuyxuPublished by xuyxu over 3 years ago
use_reduction_sum
for fit
of Gradient Boosting | @xuyxutensorboard
as a soft dependency | @xuyxuFastGeometricClassifier
and FastGeometricRegressor
| @xuyxuset_logger
| @zzzzwjuse_reduction_sum
parameter for fit
of Gradient Boosting | @xuyxuevaluate
and predict
| @xuyxuPublished by xuyxu over 3 years ago
FastGeometricClassifier
and FastGeometricRegressor
| @xuyxuPublished by xuyxu over 3 years ago
load
for all ensembles | @mttgddload
for all ensembles | @xuyxuPublished by xuyxu over 3 years ago
set_scheduler
for all ensembles | @xuyxuAdversarialTrainingClassifier
and AdversarialTrainingRegressor
| @xuyxuSnapshotEnsembleClassifier
and SnapshotEnsembleRegressor
| @xuyxulogging
| @zzzzwjoutput_dim
from all methods | @xuyxuset_optimizer
| @xuyxu