Transformer-Rankers
Tutorials
Quick-start
Setup
Example
Documentation
transformer_rankers
transformer_rankers.datasets
transformer_rankers.datasets.dataset
transformer_rankers.datasets.dataset.collate_T2T_batch
transformer_rankers.datasets.dataset.AbstractDataloader
transformer_rankers.datasets.dataset.QueryDocumentDataLoader
transformer_rankers.datasets.dataset.QueryDocumentDataset
transformer_rankers.datasets.dataset.QueryPosDocNegDocDataLoader
transformer_rankers.datasets.dataset.QueryPosDocNegDocDataset
transformer_rankers.datasets.dataset.WeaklySupervisedQueryDocumentDataLoader
transformer_rankers.datasets.dataset.WeaklySupervisedQueryDocumentDataset
transformer_rankers.datasets.downloader
transformer_rankers.datasets.downloader.download_file_from_google_drive
transformer_rankers.datasets.downloader.get_confirm_token
transformer_rankers.datasets.downloader.save_response_content
transformer_rankers.datasets.downloader.DataDownloader
transformer_rankers.datasets.preprocess_crr
transformer_rankers.datasets.preprocess_crr.read_crr_tsv_as_df
transformer_rankers.datasets.preprocess_crr.transform_dstc8_to_tsv
transformer_rankers.datasets.preprocess_pr
transformer_rankers.datasets.preprocess_pr.transform_trec2020pr_to_dfs
transformer_rankers.datasets.preprocess_sqr
transformer_rankers.datasets.preprocess_sqr.transform_linkso_to_duplicates_dfs
transformer_rankers.datasets.preprocess_sqr.transform_quora_question_pairs_to_duplicates_dfs
transformer_rankers.datasets.processors
transformer_rankers.datasets.processors.clariq_processor
transformer_rankers.datasets.processors.linkso_processor
transformer_rankers.datasets.processors.mantis_processor
transformer_rankers.datasets.processors.msdialog_processor
transformer_rankers.datasets.processors.qqp_processor
transformer_rankers.datasets.processors.trec2020pr_processor
transformer_rankers.datasets.processors.ubuntu_dstc8_processor
transformer_rankers.eval
transformer_rankers.eval.evaluation
transformer_rankers.eval.evaluation.evaluate_models
transformer_rankers.eval.evaluation.recall_at_with_k_candidates
transformer_rankers.eval.results_analyses_tools
transformer_rankers.eval.results_analyses_tools.evaluate
transformer_rankers.eval.results_analyses_tools.evaluate_and_aggregate
transformer_rankers.examples
transformer_rankers.examples.aggregate_sacred_result_logs
transformer_rankers.examples.aggregate_sacred_result_logs.main
transformer_rankers.examples.analyze_ws
transformer_rankers.examples.analyze_ws.main
transformer_rankers.examples.analyze_ws.run_experiment
transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr
transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr.main
transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr.run_experiment
transformer_rankers.examples.download_task_data
transformer_rankers.examples.download_task_data.main
transformer_rankers.examples.minimal_example
transformer_rankers.examples.minimal_example.main
transformer_rankers.examples.negative_sampling
transformer_rankers.examples.negative_sampling.main
transformer_rankers.examples.pairwise_bert_ranker
transformer_rankers.examples.pairwise_bert_ranker.main
transformer_rankers.examples.pairwise_bert_ranker.run_experiment
transformer_rankers.examples.pointwise_bert_ranker
transformer_rankers.examples.pointwise_bert_ranker.main
transformer_rankers.examples.pointwise_bert_ranker.run_experiment
transformer_rankers.examples.t5_ranker
transformer_rankers.examples.t5_ranker.main
transformer_rankers.examples.t5_ranker.run_experiment
transformer_rankers.models
transformer_rankers.models.losses
transformer_rankers.models.losses.label_smoothing
transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy
transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy
transformer_rankers.models.pairwise_bert
transformer_rankers.models.pairwise_bert.BertForPairwiseLearning
transformer_rankers.models.pointwise_bert
transformer_rankers.models.pointwise_bert.BertForPointwiseLearning
transformer_rankers.negative_samplers
transformer_rankers.negative_samplers.negative_sampling
transformer_rankers.negative_samplers.negative_sampling.BM25NegativeSamplerPyserini
transformer_rankers.negative_samplers.negative_sampling.RandomNegativeSampler
transformer_rankers.negative_samplers.negative_sampling.SentenceBERTNegativeSampler
transformer_rankers.scripts
transformer_rankers.scripts.select_ns_examples
transformer_rankers.scripts.select_ns_examples.main
transformer_rankers.scripts.train_sentenceBERT_crr
transformer_rankers.scripts.train_sentenceBERT_crr.main
transformer_rankers.scripts.train_sentenceBERT_crr.CRRBenchmarkDataReader
transformer_rankers.scripts.train_sentenceBERT_crr.CRRDataReader
transformer_rankers.trainers
transformer_rankers.trainers.transformer_trainer
transformer_rankers.trainers.transformer_trainer.TransformerTrainer
transformer_rankers.utils
transformer_rankers.utils.utils
transformer_rankers.utils.utils.acumulate_l1_by_l2
transformer_rankers.utils.utils.acumulate_list
transformer_rankers.utils.utils.acumulate_list_multiple_relevant
transformer_rankers.utils.utils.from_df_to_list_without_nans
Transformer-Rankers
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Index
Index
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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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H
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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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Q
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R
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S
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T
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U
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W
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Z
_
__init__() (transformer_rankers.datasets.dataset.AbstractDataloader method)
(transformer_rankers.datasets.dataset.QueryDocumentDataLoader method)
(transformer_rankers.datasets.dataset.QueryDocumentDataset method)
(transformer_rankers.datasets.dataset.QueryPosDocNegDocDataLoader method)
(transformer_rankers.datasets.dataset.QueryPosDocNegDocDataset method)
(transformer_rankers.datasets.dataset.WeaklySupervisedQueryDocumentDataLoader method)
(transformer_rankers.datasets.dataset.WeaklySupervisedQueryDocumentDataset method)
(transformer_rankers.datasets.downloader.DataDownloader method)
(transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
(transformer_rankers.negative_samplers.negative_sampling.BM25NegativeSamplerPyserini method)
(transformer_rankers.negative_samplers.negative_sampling.RandomNegativeSampler method)
(transformer_rankers.negative_samplers.negative_sampling.SentenceBERTNegativeSampler method)
(transformer_rankers.scripts.train_sentenceBERT_crr.CRRBenchmarkDataReader method)
(transformer_rankers.scripts.train_sentenceBERT_crr.CRRDataReader method)
(transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
A
AbstractDataloader (class in transformer_rankers.datasets.dataset)
acumulate_l1_by_l2() (in module transformer_rankers.utils.utils)
acumulate_list() (in module transformer_rankers.utils.utils)
acumulate_list_multiple_relevant() (in module transformer_rankers.utils.utils)
add_memory_hooks() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
add_module() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
adjust_logits_during_generation() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
apply() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
B
base_model() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning property)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning property)
BertForPairwiseLearning (class in transformer_rankers.models.pairwise_bert)
BertForPairwiseLearning.to() (in module transformer_rankers.models.pairwise_bert)
,
[1]
,
[2]
,
[3]
BertForPointwiseLearning (class in transformer_rankers.models.pointwise_bert)
BertForPointwiseLearning.to() (in module transformer_rankers.models.pointwise_bert)
,
[1]
,
[2]
,
[3]
bfloat16() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
BM25NegativeSamplerPyserini (class in transformer_rankers.negative_samplers.negative_sampling)
buffers() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
C
children() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
clariq_processor() (in module transformer_rankers.datasets.processors)
collate_T2T_batch() (in module transformer_rankers.datasets.dataset)
config_class (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning attribute)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning attribute)
cpu() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
CRRBenchmarkDataReader (class in transformer_rankers.scripts.train_sentenceBERT_crr)
CRRDataReader (class in transformer_rankers.scripts.train_sentenceBERT_crr)
cuda() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
D
DataDownloader (class in transformer_rankers.datasets.downloader)
device() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning property)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning property)
double() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
download_file_from_google_drive() (in module transformer_rankers.datasets.downloader)
dtype() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning property)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning property)
dummy_inputs() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning property)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning property)
E
enforce_repetition_penalty_() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
eval() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
evaluate() (in module transformer_rankers.eval.results_analyses_tools)
evaluate_and_aggregate() (in module transformer_rankers.eval.results_analyses_tools)
evaluate_models() (in module transformer_rankers.eval.evaluation)
extra_repr() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
F
fit() (transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
float() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
forward() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
from_df_to_list_without_nans() (in module transformer_rankers.utils.utils)
from_pretrained() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning class method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning class method)
G
generate() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
get_confirm_token() (in module transformer_rankers.datasets.downloader)
get_examples() (transformer_rankers.scripts.train_sentenceBERT_crr.CRRBenchmarkDataReader method)
(transformer_rankers.scripts.train_sentenceBERT_crr.CRRDataReader method)
get_extended_attention_mask() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
get_head_mask() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
get_input_embeddings() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
get_output_embeddings() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
H
half() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
I
init_weights() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
invert_attention_mask() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
L
LabelSmoothingCrossEntropy (class in transformer_rankers.models.losses.label_smoothing)
LabelSmoothingCrossEntropy.to() (in module transformer_rankers.models.losses.label_smoothing)
,
[1]
,
[2]
,
[3]
linkso_processor() (in module transformer_rankers.datasets.processors)
load_state_dict() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
load_tf_weights() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
M
main() (in module transformer_rankers.examples.aggregate_sacred_result_logs)
(in module transformer_rankers.examples.analyze_ws)
(in module transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr)
(in module transformer_rankers.examples.download_task_data)
(in module transformer_rankers.examples.minimal_example)
(in module transformer_rankers.examples.negative_sampling)
(in module transformer_rankers.examples.pairwise_bert_ranker)
(in module transformer_rankers.examples.pointwise_bert_ranker)
(in module transformer_rankers.examples.t5_ranker)
(in module transformer_rankers.scripts.select_ns_examples)
(in module transformer_rankers.scripts.train_sentenceBERT_crr)
mantis_processor() (in module transformer_rankers.datasets.processors)
module
transformer_rankers
transformer_rankers.datasets
transformer_rankers.datasets.dataset
transformer_rankers.datasets.downloader
transformer_rankers.datasets.preprocess_crr
transformer_rankers.datasets.preprocess_pr
transformer_rankers.datasets.preprocess_sqr
transformer_rankers.datasets.processors
transformer_rankers.eval
transformer_rankers.eval.evaluation
transformer_rankers.eval.results_analyses_tools
transformer_rankers.examples
transformer_rankers.examples.aggregate_sacred_result_logs
transformer_rankers.examples.analyze_ws
transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr
transformer_rankers.examples.download_task_data
transformer_rankers.examples.minimal_example
transformer_rankers.examples.negative_sampling
transformer_rankers.examples.pairwise_bert_ranker
transformer_rankers.examples.pointwise_bert_ranker
transformer_rankers.examples.t5_ranker
transformer_rankers.models
transformer_rankers.models.losses
transformer_rankers.models.losses.label_smoothing
transformer_rankers.models.pairwise_bert
transformer_rankers.models.pointwise_bert
transformer_rankers.negative_samplers
transformer_rankers.negative_samplers.negative_sampling
transformer_rankers.scripts
transformer_rankers.scripts.select_ns_examples
transformer_rankers.scripts.train_sentenceBERT_crr
transformer_rankers.trainers
transformer_rankers.trainers.transformer_trainer
transformer_rankers.utils
transformer_rankers.utils.utils
modules() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
msdialog_processor() (in module transformer_rankers.datasets.processors)
N
named_buffers() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
named_children() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
named_modules() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
named_parameters() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
num_parameters() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
P
parameters() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
predict() (transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
predict_with_uncertainty() (transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
prepare_inputs_for_generation() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
prune_heads() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
Q
qqp_processor() (in module transformer_rankers.datasets.processors)
QueryDocumentDataLoader (class in transformer_rankers.datasets.dataset)
QueryDocumentDataset (class in transformer_rankers.datasets.dataset)
QueryPosDocNegDocDataLoader (class in transformer_rankers.datasets.dataset)
QueryPosDocNegDocDataset (class in transformer_rankers.datasets.dataset)
R
RandomNegativeSampler (class in transformer_rankers.negative_samplers.negative_sampling)
read_crr_tsv_as_df() (in module transformer_rankers.datasets.preprocess_crr)
recall_at_with_k_candidates() (in module transformer_rankers.eval.evaluation)
register_backward_hook() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
register_buffer() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
register_forward_hook() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
register_forward_pre_hook() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
register_parameter() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
requires_grad_() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
reset_memory_hooks_state() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
resize_token_embeddings() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
run_experiment() (in module transformer_rankers.examples.analyze_ws)
(in module transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr)
(in module transformer_rankers.examples.pairwise_bert_ranker)
(in module transformer_rankers.examples.pointwise_bert_ranker)
(in module transformer_rankers.examples.t5_ranker)
S
sample() (transformer_rankers.negative_samplers.negative_sampling.BM25NegativeSamplerPyserini method)
(transformer_rankers.negative_samplers.negative_sampling.RandomNegativeSampler method)
(transformer_rankers.negative_samplers.negative_sampling.SentenceBERTNegativeSampler method)
save_pretrained() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
save_response_content() (in module transformer_rankers.datasets.downloader)
SentenceBERTNegativeSampler (class in transformer_rankers.negative_samplers.negative_sampling)
set_input_embeddings() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
state_dict() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
T
test() (transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
test_with_dropout() (transformer_rankers.trainers.transformer_trainer.TransformerTrainer method)
tie_weights() (transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
to() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
train() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
transform_dstc8_to_tsv() (in module transformer_rankers.datasets.preprocess_crr)
transform_linkso_to_duplicates_dfs() (in module transformer_rankers.datasets.preprocess_sqr)
transform_quora_question_pairs_to_duplicates_dfs() (in module transformer_rankers.datasets.preprocess_sqr)
transform_trec2020pr_to_dfs() (in module transformer_rankers.datasets.preprocess_pr)
transformer_rankers
module
transformer_rankers.datasets
module
transformer_rankers.datasets.dataset
module
transformer_rankers.datasets.downloader
module
transformer_rankers.datasets.preprocess_crr
module
transformer_rankers.datasets.preprocess_pr
module
transformer_rankers.datasets.preprocess_sqr
module
transformer_rankers.datasets.processors
module
transformer_rankers.eval
module
transformer_rankers.eval.evaluation
module
transformer_rankers.eval.results_analyses_tools
module
transformer_rankers.examples
module
transformer_rankers.examples.aggregate_sacred_result_logs
module
transformer_rankers.examples.analyze_ws
module
transformer_rankers.examples.bert_ranker_cross_task_cross_ns_for_crr
module
transformer_rankers.examples.download_task_data
module
transformer_rankers.examples.minimal_example
module
transformer_rankers.examples.negative_sampling
module
transformer_rankers.examples.pairwise_bert_ranker
module
transformer_rankers.examples.pointwise_bert_ranker
module
transformer_rankers.examples.t5_ranker
module
transformer_rankers.models
module
transformer_rankers.models.losses
module
transformer_rankers.models.losses.label_smoothing
module
transformer_rankers.models.pairwise_bert
module
transformer_rankers.models.pointwise_bert
module
transformer_rankers.negative_samplers
module
transformer_rankers.negative_samplers.negative_sampling
module
transformer_rankers.scripts
module
transformer_rankers.scripts.select_ns_examples
module
transformer_rankers.scripts.train_sentenceBERT_crr
module
transformer_rankers.trainers
module
transformer_rankers.trainers.transformer_trainer
module
transformer_rankers.utils
module
transformer_rankers.utils.utils
module
TransformerTrainer (class in transformer_rankers.trainers.transformer_trainer)
trec2020pr_processor() (in module transformer_rankers.datasets.processors)
type() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)
U
ubuntu_dstc8_processor() (in module transformer_rankers.datasets.processors)
W
WeaklySupervisedLabelSmoothingCrossEntropy (class in transformer_rankers.models.losses.label_smoothing)
WeaklySupervisedLabelSmoothingCrossEntropy.to() (in module transformer_rankers.models.losses.label_smoothing)
,
[1]
,
[2]
,
[3]
WeaklySupervisedQueryDocumentDataLoader (class in transformer_rankers.datasets.dataset)
WeaklySupervisedQueryDocumentDataset (class in transformer_rankers.datasets.dataset)
Z
zero_grad() (transformer_rankers.models.losses.label_smoothing.LabelSmoothingCrossEntropy method)
(transformer_rankers.models.losses.label_smoothing.WeaklySupervisedLabelSmoothingCrossEntropy method)
(transformer_rankers.models.pairwise_bert.BertForPairwiseLearning method)
(transformer_rankers.models.pointwise_bert.BertForPointwiseLearning method)