Yan Shang e816c777eb Add regularization for sparse features ... Reviewed By: xianjiec Differential Revision: D5767997 fbshipit-source-id: b9b7c47d11417fbe67d861a2a6b4daa38adbe57b		2018-02-02 16:03:32 -08:00
..
__init__.py
add_bias.py
arc_cosine_feature_map.py
batch_distill_lr_loss.py
batch_lr_loss.py	use numerically stable version of BatchLRLoss	2018-01-02 13:18:36 -08:00
batch_mse_loss.py	Support regression with output transform in MTML for feed	2017-12-11 17:20:20 -08:00
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py
build_index.py
concat.py	testPairwiseDotProduct	2018-01-26 11:33:08 -08:00
conv.py
dropout.py
fc.py	add error msg in fc input_record	2018-01-23 14:48:15 -08:00
fc_without_bias.py
feature_sparse_to_dense.py
functional.py
gather_record.py
last_n_window_collector.py
layers.py	add error msg in get_key	2018-01-23 11:04:05 -08:00
margin_rank_loss.py
merge_id_lists.py
pairwise_dot_product.py	testPairwiseDotProduct	2018-01-26 11:33:08 -08:00
position_weighted.py
random_fourier_features.py
reservoir_sampling.py
sampling_train.py
sampling_trainable_mixin.py
select_record_by_context.py
semi_random_features.py
sparse_feature_hash.py	change ModOp to support output sign configurations	2018-01-31 18:03:16 -08:00
sparse_lookup.py	Add regularization for sparse features	2018-02-02 16:03:32 -08:00
split.py
tags.py
uniform_sampling.py