Easy Lightning
Get Started
Installation
Quick Start Guide
User Guide
Config
Easy_Rec Config
Easy_Torch Config
Developer Guide
Custom Metrics
Custom Loss
Custom Dataset
Custom Callbacks
API Reference
Easy_Rec package
Easy_Torch package
Easy Lightning
Index
Index
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
B
BackwardNRL (class in easy_torch.losses)
BaseNN (class in easy_torch.model)
BatchLength (class in easy_torch.metrics)
C
change_all_paddings() (in module easy_torch.torchvision_utils)
change_conv_out_features() (in module easy_torch.torchvision_utils)
change_fc_out_features() (in module easy_torch.torchvision_utils)
change_in_channels() (in module easy_torch.torchvision_utils)
complete_prepare_model() (in module easy_torch.preparation)
complete_prepare_trainer() (in module easy_torch.preparation)
compute() (easy_rec.metrics.F1 method)
(easy_rec.metrics.MAP method)
(easy_rec.metrics.NDCG method)
(easy_rec.metrics.RecMetric method)
(easy_torch.metrics.BatchLength method)
(easy_torch.metrics.FakeMetric method)
(easy_torch.metrics.SoftLabelsAccuracy method)
compute_loss() (easy_torch.model.BaseNN method)
compute_metrics() (easy_torch.model.BaseNN method)
compute_model_output() (easy_torch.model.BaseNN method)
configure_optimizers() (easy_torch.model.BaseNN method)
consistency_loss() (easy_torch.losses.NCODLoss method)
create_model() (in module easy_torch.process)
D
densify_index_method() (in module easy_rec.data_generation_utils)
df_to_sequences() (in module easy_rec.data_generation_utils)
download_dataset() (in module easy_rec.data_generation_utils)
DynamicNegatives (class in easy_rec.callbacks)
E
easy_rec.callbacks
module
easy_rec.data_generation_utils
module
easy_rec.losses
module
easy_rec.metrics
module
easy_torch.callbacks
module
easy_torch.losses
module
easy_torch.metrics
module
easy_torch.model
module
easy_torch.preparation
module
easy_torch.process
module
easy_torch.torchvision_utils
module
easy_torch.utils
module
epsilon (easy_torch.losses.GCELoss attribute)
F
F1 (class in easy_rec.metrics)
FakeMetric (class in easy_torch.metrics)
FakeMetricCollection (class in easy_torch.metrics)
filter_by_frequence() (in module easy_rec.data_generation_utils)
filter_ratings() (in module easy_rec.data_generation_utils)
forward() (easy_rec.losses.SequentialBCEWithLogitsLoss method)
(easy_rec.losses.SequentialBPR method)
(easy_rec.losses.SequentialCrossEntropyLoss method)
(easy_rec.losses.SequentialGeneralizedBCEWithLogitsLoss method)
(easy_torch.losses.BackwardNRL method)
(easy_torch.losses.ForwardNRL method)
(easy_torch.losses.GCELoss method)
(easy_torch.losses.NCODLoss method)
(easy_torch.losses.PatriniLoss method)
(easy_torch.model.BaseNN method)
(easy_torch.model.Identity method)
(easy_torch.model.LambdaLayer method)
ForwardNRL (class in easy_torch.losses)
G
gamma_transformation() (easy_rec.losses.SequentialGeneralizedBCEWithLogitsLoss method)
GCELoss (class in easy_torch.losses)
get_correct_package() (in module easy_torch.preparation)
get_function() (in module easy_torch.preparation)
get_input_args_kwargs() (easy_torch.model.BaseNN method)
get_key_if_dict_and_exists() (easy_torch.model.BaseNN method)
get_max_number_of() (in module easy_rec.data_generation_utils)
get_rating_files_per_dataset() (in module easy_rec.data_generation_utils)
get_single_callback() (in module easy_torch.preparation)
get_single_loss() (in module easy_torch.preparation)
get_torchvision_model() (in module easy_torch.model)
(in module easy_torch.torchvision_utils)
get_torchvision_model_as_decoder() (in module easy_torch.model)
get_torchvision_model_split_name() (in module easy_torch.torchvision_utils)
H
handle_FakeMetricCollection() (in module easy_torch.preparation)
I
Identity (class in easy_torch.model)
init_param() (easy_torch.losses.NCODLoss method)
init_vars() (easy_rec.callbacks.DynamicNegatives method)
invert_layer() (in module easy_torch.torchvision_utils)
invert_model() (in module easy_torch.torchvision_utils)
items() (easy_torch.utils.RobustModuleDict method)
K
keys() (easy_torch.utils.RobustModuleDict method)
L
LambdaLayer (class in easy_torch.model)
load_logs() (in module easy_torch.process)
load_model() (in module easy_torch.process)
load_ratings_df() (in module easy_rec.data_generation_utils)
load_torchvision_model() (in module easy_torch.model)
(in module easy_torch.torchvision_utils)
log() (easy_torch.model.BaseNN method)
M
make_fake_class() (in module easy_torch.metrics)
MAP (class in easy_rec.metrics)
map_dataset_name() (in module easy_rec.data_generation_utils)
maybe_preprocess_raw_dataset() (in module easy_rec.data_generation_utils)
module
easy_rec.callbacks
easy_rec.data_generation_utils
easy_rec.losses
easy_rec.metrics
easy_torch.callbacks
easy_torch.losses
easy_torch.metrics
easy_torch.model
easy_torch.preparation
easy_torch.process
easy_torch.torchvision_utils
easy_torch.utils
MRR (class in easy_rec.metrics)
N
NCODLoss (class in easy_torch.losses)
NDCG (class in easy_rec.metrics)
not_nan_subset() (easy_rec.metrics.RecMetric method)
O
on_epoch_end() (easy_torch.callbacks.TimeCallback method)
on_epoch_start() (easy_torch.callbacks.TimeCallback method)
on_test_epoch_end() (easy_torch.callbacks.TimeCallback method)
on_test_epoch_start() (easy_torch.callbacks.TimeCallback method)
on_train_batch_end() (easy_rec.callbacks.DynamicNegatives method)
(easy_torch.callbacks.TerminateOnNaNCallback method)
on_train_epoch_end() (easy_rec.callbacks.DynamicNegatives method)
(easy_torch.callbacks.TimeCallback method)
on_train_epoch_start() (easy_torch.callbacks.TimeCallback method)
on_validation_epoch_end() (easy_torch.callbacks.TimeCallback method)
on_validation_epoch_start() (easy_torch.callbacks.TemperatureSlowdownCallback method)
(easy_torch.callbacks.TimeCallback method)
P
PatriniLoss (class in easy_torch.losses)
Precision (class in easy_rec.metrics)
PrecisionWithRelevance (class in easy_rec.metrics)
predict_step() (easy_torch.model.BaseNN method)
prepare_callbacks() (in module easy_torch.preparation)
prepare_data_loaders() (in module easy_torch.preparation)
prepare_emission_tracker() (in module easy_torch.preparation)
prepare_experiment_id() (in module easy_torch.preparation)
prepare_flops_profiler() (in module easy_torch.preparation)
prepare_logger() (in module easy_torch.preparation)
prepare_loss() (in module easy_torch.preparation)
prepare_metrics() (in module easy_torch.preparation)
prepare_model() (in module easy_torch.preparation)
prepare_optimizer() (in module easy_torch.preparation)
prepare_plugins() (in module easy_torch.preparation)
prepare_profiler() (in module easy_torch.preparation)
prepare_rank_corrections() (in module easy_rec.metrics)
prepare_scheduler() (in module easy_torch.preparation)
prepare_strategy() (in module easy_torch.preparation)
prepare_trainer() (in module easy_torch.preparation)
preprocess_dataset() (in module easy_rec.data_generation_utils)
print_stats() (in module easy_rec.data_generation_utils)
Q
q (easy_torch.losses.GCELoss attribute)
R
Recall (class in easy_rec.metrics)
RecMetric (class in easy_rec.metrics)
remove_keys_from_dict() (in module easy_torch.preparation)
reset() (easy_rec.metrics.MAP method)
resnet_forward_impl() (in module easy_torch.torchvision_utils)
RLS_FRBO (class in easy_rec.metrics)
RLS_Jaccard (class in easy_rec.metrics)
RLS_RBO (class in easy_rec.metrics)
RobustModuleDict (class in easy_torch.utils)
S
SequentialBCEWithLogitsLoss (class in easy_rec.losses)
SequentialBPR (class in easy_rec.losses)
SequentialCrossEntropyLoss (class in easy_rec.losses)
SequentialGeneralizedBCEWithLogitsLoss (class in easy_rec.losses)
shutdown_dataloaders_workers() (in module easy_torch.process)
soft_to_hard() (easy_torch.losses.NCODLoss method)
SoftLabelsAccuracy (class in easy_torch.metrics)
softmax (easy_torch.losses.GCELoss attribute)
specific_preprocess() (in module easy_rec.data_generation_utils)
split_rec_data() (in module easy_rec.data_generation_utils)
step() (easy_torch.model.BaseNN method)
T
TemperatureSlowdownCallback (class in easy_torch.callbacks)
TerminateOnNaNCallback (class in easy_torch.callbacks)
test_model() (in module easy_torch.process)
test_step() (easy_torch.model.BaseNN method)
TimeCallback (class in easy_torch.callbacks)
train_model() (in module easy_torch.process)
training_step() (easy_torch.model.BaseNN method)
U
update() (easy_rec.metrics.F1 method)
(easy_rec.metrics.MAP method)
(easy_rec.metrics.MRR method)
(easy_rec.metrics.NDCG method)
(easy_rec.metrics.Precision method)
(easy_rec.metrics.PrecisionWithRelevance method)
(easy_rec.metrics.Recall method)
(easy_rec.metrics.RLS_FRBO method)
(easy_rec.metrics.RLS_Jaccard method)
(easy_rec.metrics.RLS_RBO method)
(easy_torch.metrics.BatchLength method)
(easy_torch.metrics.FakeMetric method)
(easy_torch.metrics.SoftLabelsAccuracy method)
(easy_torch.utils.RobustModuleDict method)
V
validate_model() (in module easy_torch.process)
validation_step() (easy_torch.model.BaseNN method)
values() (easy_torch.utils.RobustModuleDict method)
video_resnet_forward() (in module easy_torch.torchvision_utils)