Deletor
stable
Contents:
Tutorial Overview
Tutorial Outline
API Documentation:
deletor
Deletor
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Index
Index
A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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P
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R
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S
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T
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U
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V
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W
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X
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Y
A
a (test.examples.attn.test_model.TestAttentionModel attribute)
(test.random.test_sample.TestSampleAfterBatching attribute)
aggregate() (deletor.metrics.AggregateMetric method)
(deletor.metrics.Mean method)
(deletor.metrics.Sum method)
AggregateMetric (class in deletor.metrics)
apply_map() (in module examples.pipeline)
apply_pairwise_op() (in module deletor.losses)
apply_weak_models() (deletor.models.boost.EnsembleScoringNetwork method)
approx_abs() (in module deletor.math.utils)
approximate_ranks() (in module deletor.ranking.utils)
ApproximateBiDiNormalizedDiscountedCumulativeGain (class in deletor.losses)
ApproximateNormalizedDiscountedCumulativeGain (class in deletor.losses)
AttentionLayer (class in deletor.models.attn)
AttentionSchedule (class in examples.attn.mltr30k)
B
bytes_feature() (in module examples.build_tfrecords)
C
call() (deletor.models.attn.AttentionLayer method)
(deletor.models.attn.Encoder method)
(deletor.models.attn.EncoderLayer method)
(deletor.models.attn.GroupwiseAttentionNetwork method)
(deletor.models.attn.GroupwiseMultiHeadAttentionNetwork method)
(deletor.models.attn.MultiHeadAttention method)
(deletor.models.attn.SelfAttention method)
(deletor.models.gsf.GroupwiseInputNetwork method)
(deletor.models.gsf.GroupwiseScoringNetwork method)
(deletor.models.gsf.GroupwiseScoringNetwork2 method)
(deletor.models.mlp.SimpleScoringNetwork method)
check_tensor_shapes() (in module deletor.losses)
compute() (deletor.losses.ApproximateBiDiNormalizedDiscountedCumulativeGain method)
(deletor.losses.ApproximateNormalizedDiscountedCumulativeGain method)
(deletor.losses.MeanSquaredError method)
(deletor.losses.MultiLoss method)
(deletor.losses.NetworkLoss method)
(deletor.losses.RankingCrossEntropy method)
(deletor.losses.RankingSoftmax method)
(deletor.metrics.DiscountedCumulativeGain method)
(deletor.metrics.Metric method)
(deletor.metrics.NormalizedDiscountedCumulativeGain method)
compute_ranks() (in module deletor.ranking.utils)
compute_unreduced() (deletor.losses.ApproximateBiDiNormalizedDiscountedCumulativeGain method)
(deletor.losses.ApproximateNormalizedDiscountedCumulativeGain method)
(deletor.losses.RankingSoftmax method)
count_sampled_documents() (deletor.random.sample.DocumentSampler method)
(deletor.random.sample.IndependentMultiOutputSampler method)
(deletor.random.sample.IndependentSingleOutputSampler method)
D
DampedSineSchedule (class in examples.attn.mltr30k)
data_file (test.examples.gsf.mltr30k.test_dataset.TestDataset attribute)
dataset (test.examples.gsf.mltr30k.test_dataset.TestDataset attribute)
DataTransformer (class in deletor.preprocessing)
dcg() (deletor.losses.ApproximateBiDiNormalizedDiscountedCumulativeGain method)
DCGLambdaWeight (class in deletor.losses)
default_discount() (deletor.metrics.DiscountedCumulativeGain static method)
default_dropout_rate (deletor.models.mlp.SimpleScoringNetwork attribute)
default_gain() (deletor.metrics.DiscountedCumulativeGain static method)
default_group_size (deletor.models.gsf.GroupwiseInputNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork2 attribute)
default_share_weights (deletor.models.attn.GroupwiseMultiHeadAttentionNetwork attribute)
(deletor.models.gsf.GroupwiseInputNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork2 attribute)
(deletor.models.mlp.SimpleScoringNetwork attribute)
default_use_average (deletor.models.attn.GroupwiseMultiHeadAttentionNetwork attribute)
(deletor.models.gsf.GroupwiseInputNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork attribute)
(deletor.models.gsf.GroupwiseScoringNetwork2 attribute)
deletor
module
deletor.constants
module
deletor.losses
module
deletor.math
module
deletor.math.utils
module
deletor.metrics
module
deletor.models
module
deletor.models.attn
module
deletor.models.boost
module
deletor.models.gsf
module
deletor.models.mlp
module
deletor.models.utils
module
deletor.preprocessing
module
deletor.random
module
deletor.random.sample
module
deletor.ranking
module
deletor.ranking.utils
module
deletor.tfutils
module
disable_gpu() (in module deletor.tfutils)
discount_for_absolute_rank() (deletor.losses.DCGLambdaWeight method)
discount_for_relative_rank_diff() (deletor.losses.DCGLambdaWeight method)
DiscountedCumulativeGain (class in deletor.metrics)
DocumentSampler (class in deletor.random.sample)
DROPOUT_RATE (deletor.models.attn.ModelParameter attribute)
(deletor.models.gsf.ModelParameter attribute)
(deletor.models.mlp.ModelParameter attribute)
E
Encoder (class in deletor.models.attn)
EncoderLayer (class in deletor.models.attn)
EnsembleScoringNetwork (class in deletor.models.boost)
evaluate() (in module examples.utils)
examples
module
examples.attn
module
examples.attn.mltr30k
module
examples.build_tfrecords
module
examples.gsf
module
examples.gsf.mltr30k
module
examples.gsf.mltr30k_boost
module
examples.mlp
module
examples.mlp.mltr30k
module
examples.pipeline
module
examples.utils
module
exp_rank (test.test_metrics.TestMetrics attribute)
exp_softmax (test.test_losses.TestLosses attribute)
exp_x_sample (test.random.test_sample.TestSampleAfterBatching attribute)
exp_y_sample (test.random.test_sample.TestSampleAfterBatching attribute)
expand_dims_for_unbatch() (in module examples.pipeline)
expected_dcg() (test.test_metrics.TestMetrics class method)
F
float_feature() (in module examples.build_tfrecords)
G
get_config() (examples.attn.mltr30k.AttentionSchedule method)
(examples.attn.mltr30k.DampedSineSchedule method)
get_number_of_samples() (deletor.random.sample.IndependentMultiOutputSampler method)
(deletor.random.sample.IndependentSingleOutputSampler method)
get_valid_pairs_and_clean_labels() (in module deletor.losses)
GROUP_SIZE (deletor.models.attn.ModelParameter attribute)
(deletor.models.gsf.ModelParameter attribute)
group_size (test.examples.gsf.mltr30k.test_model.MyTestCase attribute)
GroupwiseAttentionNetwork (class in deletor.models.attn)
GroupwiseInputNetwork (class in deletor.models.gsf)
GroupwiseMultiHeadAttentionNetwork (class in deletor.models.attn)
GroupwiseScoringNetwork (class in deletor.models.gsf)
GroupwiseScoringNetwork2 (class in deletor.models.gsf)
grow_memory() (in module deletor.tfutils)
I
IndependentMultiOutputSampler (class in deletor.random.sample)
IndependentSingleOutputSampler (class in deletor.random.sample)
individual_weights() (deletor.losses.DCGLambdaWeight method)
(deletor.losses.LambdaWeight method)
int64_feature() (in module examples.build_tfrecords)
inverse_max_dcg() (in module deletor.ranking.utils)
inverse_transform() (deletor.preprocessing.DataTransformer method)
(deletor.preprocessing.MinMaxScaler method)
(deletor.preprocessing.PowerTransformer method)
(deletor.preprocessing.RobustScaler method)
(deletor.preprocessing.StandardScaler method)
is_label_valid() (in module deletor.ranking.utils)
is_valid_query() (in module examples.pipeline)
L
LambdaWeight (class in deletor.losses)
LIST_SIZE (deletor.models.mlp.ModelParameter attribute)
ListwiseLoss (class in deletor.losses)
load_dataset() (in module examples.pipeline)
log_level_type() (in module examples.utils)
M
main() (in module examples.attn.mltr30k)
(in module examples.gsf.mltr30k)
(in module examples.gsf.mltr30k_boost)
(in module examples.mlp.mltr30k)
make_attention_mask() (deletor.models.attn.MultiHeadAttention class method)
make_callbacks() (in module examples.gsf.mltr30k_boost)
make_command_line_options() (in module examples.attn.mltr30k)
(in module examples.build_tfrecords)
(in module examples.gsf.mltr30k)
(in module examples.mlp.mltr30k)
make_dataset() (in module examples.build_tfrecords)
make_example() (in module examples.build_tfrecords)
make_feature_description() (in module examples.pipeline)
make_gather_indices() (deletor.random.sample.DocumentSampler method)
(deletor.random.sample.IndependentMultiOutputSampler method)
make_loss() (in module examples.utils)
make_optimizer() (in module examples.utils)
make_padded_shapes() (in module examples.pipeline)
make_padding_values() (in module examples.pipeline)
make_point_wise_feed_forward_network() (in module deletor.models.attn)
make_rank_indices() (deletor.metrics.DiscountedCumulativeGain class method)
make_scaler() (in module examples.pipeline)
make_scatter_indices() (deletor.random.sample.DocumentSampler method)
(deletor.random.sample.IndependentMultiOutputSampler method)
(deletor.random.sample.IndependentSingleOutputSampler method)
make_shared_layer() (deletor.models.attn.GroupwiseAttentionNetwork class method)
masked_softmax() (in module deletor.losses)
Mean (class in deletor.metrics)
MeanSquaredError (class in deletor.losses)
Metric (class in deletor.metrics)
MinMaxScaler (class in deletor.preprocessing)
ModelParameter (class in deletor.models.attn)
(class in deletor.models.boost)
(class in deletor.models.gsf)
(class in deletor.models.mlp)
module
deletor
deletor.constants
deletor.losses
deletor.math
deletor.math.utils
deletor.metrics
deletor.models
deletor.models.attn
deletor.models.boost
deletor.models.gsf
deletor.models.mlp
deletor.models.utils
deletor.preprocessing
deletor.random
deletor.random.sample
deletor.ranking
deletor.ranking.utils
deletor.tfutils
examples
examples.attn
examples.attn.mltr30k
examples.build_tfrecords
examples.gsf
examples.gsf.mltr30k
examples.gsf.mltr30k_boost
examples.mlp
examples.mlp.mltr30k
examples.pipeline
examples.utils
test
test.examples
test.examples.attn
test.examples.attn.test_model
test.examples.gsf
test.examples.gsf.mltr30k
test.examples.gsf.mltr30k.test_dataset
test.examples.gsf.mltr30k.test_model
test.examples.mlp
test.examples.mlp.mltr30k
test.examples.mlp.mltr30k.test_models
test.examples.test_pipeline
test.random
test.random.test_sample
test.ranking
test.ranking.test_utils
test.test_losses
test.test_metrics
test.test_preprocessing
MultiHeadAttention (class in deletor.models.attn)
MultiLoss (class in deletor.losses)
multiple (test.examples.gsf.mltr30k.test_model.MyTestCase attribute)
MyTestCase (class in test.examples.gsf.mltr30k.test_model)
N
N_FEATURES (deletor.models.attn.ModelParameter attribute)
(deletor.models.gsf.ModelParameter attribute)
n_features (test.examples.attn.test_model.TestAttentionModel attribute)
N_FF_UNITS (deletor.models.attn.ModelParameter attribute)
N_HEADS (deletor.models.attn.ModelParameter attribute)
N_LAYERS (deletor.models.attn.ModelParameter attribute)
N_MODEL (deletor.models.attn.ModelParameter attribute)
N_SAMPLED_FEATURES (deletor.models.boost.ModelParameter attribute)
N_UNITS (deletor.models.gsf.ModelParameter attribute)
(deletor.models.mlp.ModelParameter attribute)
name() (deletor.losses.ApproximateNormalizedDiscountedCumulativeGain method)
(deletor.losses.ListwiseLoss property)
(deletor.metrics.AggregateMetric property)
(deletor.metrics.DiscountedCumulativeGain property)
(deletor.metrics.Metric property)
(deletor.metrics.NormalizedDiscountedCumulativeGain property)
NetworkLoss (class in deletor.losses)
normalize_dropout() (in module deletor.models.utils)
normalize_weights() (deletor.losses.ListwiseLoss method)
(deletor.losses.NetworkLoss method)
NormalizedDiscountedCumulativeGain (class in deletor.metrics)
P
pad_groups() (in module examples.pipeline)
padded_shapes (test.examples.gsf.mltr30k.test_model.MyTestCase attribute)
padding_values (test.examples.gsf.mltr30k.test_model.MyTestCase attribute)
pair_weights() (deletor.losses.DCGLambdaWeight method)
(deletor.losses.LambdaWeight method)
pairwise() (in module test.examples.gsf.mltr30k.test_dataset)
parse_example() (in module examples.pipeline)
PowerTransformer (class in deletor.preprocessing)
precompute() (deletor.losses.RankingSoftmax method)
prepare_data() (in module examples.attn.mltr30k)
(in module examples.gsf.mltr30k)
(in module examples.gsf.mltr30k_boost)
(in module examples.mlp.mltr30k)
prepare_strong_data() (in module examples.gsf.mltr30k_boost)
prepare_test_data() (in module examples.gsf.mltr30k_boost)
prepare_weak_data() (in module examples.gsf.mltr30k_boost)
R
r (test.examples.attn.test_model.TestAttentionModel attribute)
(test.random.test_sample.TestSampleAfterBatching attribute)
RANDOM_SEED (deletor.models.gsf.ModelParameter attribute)
(deletor.models.mlp.ModelParameter attribute)
rank_by_scores() (deletor.metrics.DiscountedCumulativeGain class method)
RankingCrossEntropy (class in deletor.losses)
RankingSoftmax (class in deletor.losses)
reshape_input() (deletor.models.attn.MultiHeadAttention class method)
reshape_output() (deletor.models.attn.MultiHeadAttention class method)
RobustScaler (class in deletor.preprocessing)
S
sample() (deletor.random.sample.DocumentSampler method)
sample_after_batching() (deletor.random.sample.DocumentSampler method)
(deletor.random.sample.IndependentMultiOutputSampler method)
sample_before_batching() (deletor.random.sample.DocumentSampler method)
(deletor.random.sample.IndependentMultiOutputSampler method)
scaled_dot_product_attention() (deletor.models.attn.MultiHeadAttention class method)
seed (test.examples.gsf.mltr30k.test_model.MyTestCase attribute)
select_features() (in module examples.pipeline)
SelfAttention (class in deletor.models.attn)
set_device() (in module deletor.tfutils)
setup_model() (in module examples.attn.mltr30k)
(in module examples.gsf.mltr30k)
(in module examples.gsf.mltr30k_boost)
(in module examples.mlp.mltr30k)
setUpClass() (test.examples.attn.test_model.TestAttentionModel class method)
(test.examples.gsf.mltr30k.test_dataset.TestDataset class method)
(test.examples.gsf.mltr30k.test_model.MyTestCase class method)
(test.examples.test_pipeline.TestPipeline class method)
SHARE_WEIGHTS (deletor.models.attn.ModelParameter attribute)
(deletor.models.gsf.ModelParameter attribute)
shuffle_documents() (in module examples.pipeline)
SimpleScoringNetwork (class in deletor.models.mlp)
sort_by_scores() (in module deletor.ranking.utils)
sorted_ranks() (in module deletor.ranking.utils)
spacing() (in module deletor.math.utils)
split_heads() (deletor.models.attn.MultiHeadAttention method)
squeeze_for_unbatch() (in module examples.pipeline)
StandardScaler (class in deletor.preprocessing)
stats_file (test.examples.gsf.mltr30k.test_dataset.TestDataset attribute)
Sum (class in deletor.metrics)
svm_generator() (in module examples.build_tfrecords)
T
test
module
test.examples
module
test.examples.attn
module
test.examples.attn.test_model
module
test.examples.gsf
module
test.examples.gsf.mltr30k
module
test.examples.gsf.mltr30k.test_dataset
module
test.examples.gsf.mltr30k.test_model
module
test.examples.mlp
module
test.examples.mlp.mltr30k
module
test.examples.mlp.mltr30k.test_models
module
test.examples.test_pipeline
module
test.random
module
test.random.test_sample
module
test.ranking
module
test.ranking.test_utils
module
test.test_losses
module
test.test_metrics
module
test.test_preprocessing
module
test_approximate_bidi_ndcg() (test.test_losses.TestLosses method)
test_approximate_ndcg() (test.test_losses.TestLosses method)
test_call() (test.examples.attn.test_model.TestAttentionModel method)
test_compute_ranks() (test.ranking.test_utils.TestUtils method)
test_dataset() (test.examples.gsf.mltr30k.test_dataset.TestDataset method)
test_dcg() (test.test_metrics.TestMetrics method)
test_gin_forward_pass() (test.examples.gsf.mltr30k.test_model.MyTestCase method)
test_gsf_foward_pass() (test.examples.gsf.mltr30k.test_model.MyTestCase method)
test_independent_multi_output() (test.random.test_sample.TestSampleAfterBatching method)
(test.random.test_sample.TestSampleBeforeBatching method)
test_independent_single_output() (test.random.test_sample.TestSampleAfterBatching method)
test_masked_softmax() (test.test_losses.TestLosses method)
test_mean_squared_error() (test.test_losses.TestLosses method)
test_min_max_scaler() (test.test_preprocessing.TestPreprocessing method)
test_multi_loss() (test.test_losses.TestLosses method)
test_ndcg() (test.test_metrics.TestMetrics method)
test_power_transformer() (test.test_preprocessing.TestPreprocessing method)
test_ranking_cross_entropy() (test.test_losses.TestLosses method)
test_ranking_softmax_loss() (test.test_losses.TestLosses method)
test_robust_scaler() (test.test_preprocessing.TestPreprocessing method)
test_sample_documents_flat_indices() (test.examples.gsf.mltr30k.test_dataset.TestDataset method)
test_sample_windowed() (test.examples.gsf.mltr30k.test_dataset.TestDataset method)
test_scaled_dot_product_attention() (test.examples.attn.test_model.TestAttentionModel method)
test_scaled_dot_product_attention_with_weights() (test.examples.attn.test_model.TestAttentionModel method)
test_shuffle_documents() (test.examples.gsf.mltr30k.test_dataset.TestDataset method)
test_simple_scoring_network() (test.examples.mlp.mltr30k.test_models.TestModels method)
test_standard_scaler() (test.test_preprocessing.TestPreprocessing method)
test_tfr_approximate_ndcg() (test.test_losses.TestLosses method)
test_tfr_create_ndcg_lambda_weight() (test.test_losses.TestLambdaWeights method)
test_tfr_dcg() (test.test_metrics.TestMetrics method)
test_tfr_default() (test.test_losses.TestLambdaWeights method)
test_tfr_gain_and_discount() (test.test_losses.TestLambdaWeights method)
test_tfr_individual_weights() (test.test_losses.TestLambdaWeights method)
test_tfr_invalid_labels() (test.test_losses.TestLambdaWeights method)
test_tfr_ndcg() (test.test_metrics.TestMetrics method)
test_tfr_ndcg_with_weights() (test.test_metrics.TestMetrics method)
test_tfr_ndcg_with_weights_zero_relevance() (test.test_metrics.TestMetrics method)
test_tfr_ndcg_with_zero_relevance() (test.test_metrics.TestMetrics method)
test_tfr_normalized() (test.test_losses.TestLambdaWeights method)
test_tfr_smooth_fraction() (test.test_losses.TestLambdaWeights method)
test_tfr_topn() (test.test_losses.TestLambdaWeights method)
test_truncate_list_size() (test.examples.gsf.mltr30k.test_dataset.TestDataset method)
test_unbatch() (test.examples.test_pipeline.TestPipeline method)
TestAttentionModel (class in test.examples.attn.test_model)
TestDataset (class in test.examples.gsf.mltr30k.test_dataset)
TestLambdaWeights (class in test.test_losses)
TestLosses (class in test.test_losses)
TestMetrics (class in test.test_metrics)
TestModels (class in test.examples.mlp.mltr30k.test_models)
TestPipeline (class in test.examples.test_pipeline)
TestPreprocessing (class in test.test_preprocessing)
TestSampleAfterBatching (class in test.random.test_sample)
TestSampleBeforeBatching (class in test.random.test_sample)
TestUtils (class in test.ranking.test_utils)
to_nd_indices() (in module deletor.tfutils)
train() (in module examples.utils)
transform() (deletor.preprocessing.DataTransformer method)
(deletor.preprocessing.MinMaxScaler method)
(deletor.preprocessing.PowerTransformer method)
(deletor.preprocessing.RobustScaler method)
(deletor.preprocessing.StandardScaler method)
truncate_document_list() (in module examples.pipeline)
U
update_weights() (in module examples.gsf.mltr30k_boost)
USE_AVERAGE (deletor.models.attn.ModelParameter attribute)
(deletor.models.gsf.ModelParameter attribute)
USE_LAYER_NORM (deletor.models.attn.ModelParameter attribute)
V
validate_inputs() (deletor.losses.NetworkLoss static method)
(deletor.metrics.Metric static method)
W
WeakGroupwiseScoringNetwork (class in deletor.models.boost)
write_data() (in module examples.build_tfrecords)
write_scalers() (in module examples.build_tfrecords)
X
x (test.examples.attn.test_model.TestAttentionModel attribute)
(test.random.test_sample.TestSampleAfterBatching attribute)
(test.random.test_sample.TestSampleBeforeBatching attribute)
(test.test_preprocessing.TestPreprocessing attribute)
Y
y (test.examples.attn.test_model.TestAttentionModel attribute)
(test.random.test_sample.TestSampleAfterBatching attribute)
(test.random.test_sample.TestSampleBeforeBatching attribute)
y_pred (test.test_losses.TestLosses attribute)
(test.test_metrics.TestMetrics attribute)
y_pred_dense (test.test_metrics.TestMetrics attribute)
y_true (test.test_losses.TestLosses attribute)
(test.test_metrics.TestMetrics attribute)