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pytorch/caffe2/python/layers
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Jacqueline Xu 8cedf35d55 Adding Random Fourier Features to SparseNN Model and Flow 
Summary:
- Integrated RFF into the preprocessing workflow for dense features
- Developed Flow interface to input RFF parameters
- Created unit test for using RFF with sparseNN

Reviewed By: chocjy

Differential Revision: D5367534

fbshipit-source-id: 07307259c501a614d9ee68a731f0cc8ecd17db68
2017-07-07 09:39:32 -07:00
..
__init__.py Partial eval layers 2017-06-28 00:36:40 -07:00
add_bias.py Add bias to cosine distance for two tower models 2017-05-25 19:50:20 -07:00
batch_distill_lr_loss.py Feature importance in dper 2.0: build network representation 2017-06-05 18:03:34 -07:00
batch_lr_loss.py Feature importance in dper 2.0: build network representation 2017-06-05 18:03:34 -07:00
batch_mse_loss.py Feature importance in dper 2.0: build network representation 2017-06-05 18:03:34 -07:00
batch_normalization.py Add batch normalization layer 2017-05-26 16:46:52 -07:00
batch_sigmoid_cross_entropy_loss.py Feature importance in dper 2.0: build network representation 2017-06-05 18:03:34 -07:00
batch_softmax_loss.py add support for weight in batch_softmax_loss 2017-06-21 10:32:15 -07:00
build_index.py MapToRange layer 2017-04-25 16:03:58 -07:00
concat.py Dict fixes/improvements and unittest targets for Python 3 in caffe2 core 2017-06-29 17:05:41 -07:00
dot_product.py Dict fixes/improvements and unittest targets for Python 3 in caffe2 core 2017-06-29 17:05:41 -07:00
dropout.py Adding Dropout Layer to SparseNN Model and Flow 2017-06-20 15:46:55 -07:00
expand_dims.py doxygen python block added 2017-03-29 06:46:16 -07:00
fc.py doxygen python block added 2017-03-29 06:46:16 -07:00
fc_without_bias.py doxygen python block added 2017-03-29 06:46:16 -07:00
feature_sparse_to_dense.py Rename SparseToDense layer 2017-06-09 12:48:27 -07:00
functional.py gradient impact of task layers on shared is configurable 2017-05-11 20:34:04 -07:00
gather_record.py GatherRecord layer 2017-04-13 15:02:44 -07:00
last_n_window_collector.py LastNWindowCollector 2017-05-04 17:32:09 -07:00
layers.py Make List.__getitem__() works with output of List.field_names() 2017-06-21 14:06:05 -07:00
optimizers.py Re-apply #266 2017-04-25 21:17:04 -07:00
position_weighted.py add truncation for sparse feature 2017-06-13 10:46:53 -07:00
random_fourier_features.py Adding Random Fourier Features to SparseNN Model and Flow 2017-07-07 09:39:32 -07:00
sampling_train.py Add option to subtract log odd from sampled trained prediction. 2017-04-03 17:50:58 -07:00
sampling_trainable_mixin.py doxygen python block added 2017-03-29 06:46:16 -07:00
select_record_by_context.py JoinContext 2017-05-02 17:32:26 -07:00
sparse_lookup.py Move position weighted to separate layer 2017-06-05 15:49:22 -07:00
split.py doxygen python block added 2017-03-29 06:46:16 -07:00
tags.py offline_all_gpu_experiment 2017-06-27 23:09:54 -07:00
uniform_sampling.py Re-apply #266 2017-04-25 21:17:04 -07:00