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D
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E
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F
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H
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I
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K
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L
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M
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N
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O
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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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V
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W
A
ACR (class in ml4ir.applications.ranking.model.metrics.metrics_impl)
add_fn() (ml4ir.base.features.feature_layer.FeatureLayerMap method)
add_fns() (ml4ir.base.features.feature_layer.FeatureLayerMap method)
add_temperature_layer() (ml4ir.base.model.relevance_model.RelevanceModel method)
all_features (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
B
balance_classes() (ml4ir.base.data.relevance_dataset.RelevanceDataset method)
build() (ml4ir.base.model.relevance_model.RelevanceModel method)
BytesSequenceToEncodingBiLSTM (class in ml4ir.base.features.feature_fns.sequence)
C
calibrate() (ml4ir.base.model.relevance_model.RelevanceModel method)
call() (ml4ir.applications.classification.model.losses.categorical_cross_entropy.CategoricalCrossEntropy method)
(ml4ir.applications.ranking.model.losses.listwise_losses.RankOneListNet method)
(ml4ir.applications.ranking.model.losses.pointwise_losses.SigmoidCrossEntropy method)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM method)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets method)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithIndices method)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile method)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout method)
(ml4ir.base.features.feature_fns.categorical.CategoricalIndicatorWithVocabularyFile method)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM method)
(ml4ir.base.features.feature_fns.sequence.Global1dPooling method)
(ml4ir.base.features.feature_fns.tf_native.TFNativeOpLayer method)
(ml4ir.base.model.losses.loss_base.RelevanceLossBase method)
(ml4ir.base.model.scoring.interaction_model.UnivariateInteractionModel method)
(ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
CategoricalCrossEntropy (class in ml4ir.applications.classification.model.losses.categorical_cross_entropy)
CategoricalEmbeddingToEncodingBiLSTM (class in ml4ir.base.features.feature_fns.categorical)
CategoricalEmbeddingWithHashBuckets (class in ml4ir.base.features.feature_fns.categorical)
CategoricalEmbeddingWithIndices (class in ml4ir.base.features.feature_fns.categorical)
CategoricalEmbeddingWithVocabularyFile (class in ml4ir.base.features.feature_fns.categorical)
CategoricalEmbeddingWithVocabularyFileAndDropout (class in ml4ir.base.features.feature_fns.categorical)
CategoricalIndicatorWithVocabularyFile (class in ml4ir.base.features.feature_fns.categorical)
ClassificationPipeline (class in ml4ir.applications.classification.pipeline)
clear_dir() (ml4ir.base.io.file_io.FileIO method)
clear_dir_contents() (ml4ir.base.io.local_io.LocalIO method)
compile() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
context_features (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
copy_from_hdfs() (ml4ir.base.io.spark_io.SparkIO method)
copy_to_hdfs() (ml4ir.base.io.spark_io.SparkIO method)
create_dataset() (ml4ir.base.data.relevance_dataset.RelevanceDataset method)
create_dummy_protobuf() (ml4ir.base.features.feature_config.ExampleFeatureConfig method)
(ml4ir.base.features.feature_config.FeatureConfig method)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
create_pipeline_for_kfold() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.applications.ranking.pipeline.RankingPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
D
DEFAULT_MASKED_MAX_VAL (ml4ir.base.features.feature_fns.sequence.Global1dPooling attribute)
DEFAULT_VALUE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithIndices attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
define_scheduler_as_callback() (ml4ir.base.model.relevance_model.RelevanceModel method)
DROPOUT_RATE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
E
EMBEDDING_SIZE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithIndices attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM attribute)
ENCODING_SIZE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM attribute)
evaluate() (ml4ir.applications.ranking.model.ranking_model.RankingModel method)
(ml4ir.base.model.relevance_model.RelevanceModel method)
ExampleFeatureConfig (class in ml4ir.base.features.feature_config)
extract_features() (ml4ir.base.features.feature_config.FeatureConfig method)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
extract_features_from_proto() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
F
feature_exists() (ml4ir.base.features.feature_config.FeatureConfig method)
FeatureConfig (class in ml4ir.base.features.feature_config)
FeatureLayerMap (class in ml4ir.base.features.feature_layer)
features (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
features_dict (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
features_to_log (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
FileIO (class in ml4ir.base.io.file_io)
final_activation_op() (ml4ir.applications.classification.model.losses.categorical_cross_entropy.CategoricalCrossEntropy method)
(ml4ir.applications.ranking.model.losses.pointwise_losses.SigmoidCrossEntropy method)
(ml4ir.base.model.losses.loss_base.RelevanceLossBase method)
finish() (ml4ir.base.pipeline.RelevancePipeline method)
fit() (ml4ir.base.model.relevance_model.RelevanceModel method)
FNS (ml4ir.base.features.feature_fns.sequence.Global1dPooling attribute)
from_model_config_file() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer class method)
from_relevance_scorer() (ml4ir.base.model.relevance_model.RelevanceModel class method)
from_univariate_interaction_model() (ml4ir.base.model.relevance_model.RelevanceModel class method)
G
generate_and_add_mask() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
generate_mask() (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
get_all_features() (ml4ir.base.features.feature_config.FeatureConfig method)
get_architecture_op() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
get_aux_label() (ml4ir.base.features.feature_config.FeatureConfig method)
get_aux_loss() (ml4ir.applications.ranking.pipeline.RankingPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
get_config() (ml4ir.applications.classification.model.losses.categorical_cross_entropy.CategoricalCrossEntropy method)
(ml4ir.base.model.losses.loss_base.RelevanceLossBase method)
get_context_features() (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
get_default_tensor() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
get_default_value() (ml4ir.base.features.feature_config.FeatureConfig method)
get_dtype() (ml4ir.base.features.feature_config.FeatureConfig method)
get_feature() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
(ml4ir.base.features.feature_config.FeatureConfig method)
get_feature_by_node_name() (ml4ir.base.features.feature_config.FeatureConfig method)
get_features_spec() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
get_features_to_log() (ml4ir.base.features.feature_config.FeatureConfig method)
get_files_in_directory() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
get_fn() (ml4ir.base.features.feature_layer.FeatureLayerMap method)
get_fns() (ml4ir.base.features.feature_layer.FeatureLayerMap method)
get_group_metrics_keys() (ml4ir.base.features.feature_config.FeatureConfig method)
get_hyperparameter_dict() (ml4ir.base.features.feature_config.FeatureConfig method)
get_instance() (ml4ir.base.features.feature_config.FeatureConfig static method)
get_kfold_relevance_dataset() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
get_label() (ml4ir.base.features.feature_config.FeatureConfig method)
get_loss() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.applications.ranking.pipeline.RankingPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
get_mask() (ml4ir.base.features.feature_config.FeatureConfig method)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
get_metadata_features() (ml4ir.base.features.feature_config.FeatureConfig method)
get_metrics() (ml4ir.applications.classification.pipeline.ClassificationPipeline static method)
(ml4ir.applications.ranking.pipeline.RankingPipeline static method)
(ml4ir.base.pipeline.RelevancePipeline static method)
get_one_hot_label_vectorizer() (in module ml4ir.base.features.preprocessing)
get_parse_fn() (in module ml4ir.base.data.tfrecord_reader)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
get_path_from_str() (ml4ir.base.io.spark_io.SparkIO method)
get_query_key() (ml4ir.base.features.feature_config.FeatureConfig method)
get_rank() (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
get_relevance_dataset() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
get_relevance_model() (ml4ir.base.pipeline.RelevancePipeline method)
get_relevance_model_cls() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.applications.ranking.pipeline.RankingPipeline method)
(ml4ir.base.pipeline.RelevancePipeline method)
get_sequence_features() (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
get_train_features() (ml4ir.base.features.feature_config.FeatureConfig method)
Global1dPooling (class in ml4ir.base.features.feature_fns.sequence)
group_metrics_keys (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
H
HASH_BUCKET_SIZE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets attribute)
I
initialize_features() (ml4ir.base.features.feature_config.FeatureConfig method)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
InteractionModel (class in ml4ir.base.model.scoring.interaction_model)
is_compiled (ml4ir.base.model.relevance_model.RelevanceModel attribute)
K
kfold_analysis() (ml4ir.applications.ranking.pipeline.RankingPipeline method)
L
label (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
LAYER_NAME (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithIndices attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalIndicatorWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.sequence.Global1dPooling attribute)
(ml4ir.base.features.feature_fns.tf_native.TFNativeOpLayer attribute)
load() (ml4ir.base.model.relevance_model.RelevanceModel method)
load_numpy_array() (ml4ir.base.io.local_io.LocalIO method)
load_weights() (ml4ir.base.model.relevance_model.RelevanceModel method)
LocalIO (class in ml4ir.base.io.local_io)
log() (ml4ir.base.io.file_io.FileIO method)
log_initialization() (ml4ir.base.features.feature_config.FeatureConfig method)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig method)
logger (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
LSTM_KERNEL_INITIALIZER (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM attribute)
M
make_directory() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
mask (ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
MASKED_MAX_VAL (ml4ir.base.features.feature_fns.sequence.Global1dPooling attribute)
MAX_LENGTH (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalIndicatorWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.sequence.BytesSequenceToEncodingBiLSTM attribute)
MERGE_MODE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets attribute)
metadata_features (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
metrics (ml4ir.base.model.scoring.scoring_model.RelevanceScorer attribute)
ml4ir.base.data.csv_reader (module)
ml4ir.base.data.tfrecord_reader (module)
ml4ir.base.data.tfrecord_writer (module)
ml4ir.base.features.feature_fns.categorical (module)
ml4ir.base.features.feature_fns.sequence (module)
ml4ir.base.features.feature_fns.tf_native (module)
ml4ir.base.features.feature_layer (module)
ml4ir.base.features.preprocessing (module)
MRR (class in ml4ir.applications.ranking.model.metrics.metrics_impl)
N
natural_log (in module ml4ir.base.features.preprocessing)
NUM_BUCKETS (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithIndices attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
NUM_HASH_BUCKETS (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithHashBuckets attribute)
NUM_OOV_BUCKETS (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalIndicatorWithVocabularyFile attribute)
O
OPS (ml4ir.base.features.feature_fns.tf_native.TFNativeOpLayer attribute)
P
pad_feature() (ml4ir.base.data.tfrecord_reader.TFRecordExampleParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordParser method)
(ml4ir.base.data.tfrecord_reader.TFRecordSequenceExampleParser method)
PADDED_VAL (ml4ir.base.features.feature_fns.sequence.Global1dPooling attribute)
path_exists() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
plot_abstract_model() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
pop_fn() (ml4ir.base.features.feature_layer.FeatureLayerMap method)
post_training_step() (ml4ir.base.pipeline.RelevancePipeline method)
pre_processing_step() (ml4ir.base.pipeline.RelevancePipeline method)
predict() (ml4ir.applications.ranking.model.ranking_model.RankingModel method)
(ml4ir.base.model.relevance_model.RelevanceModel method)
preprocess_feature() (ml4ir.base.data.tfrecord_reader.TFRecordParser method)
preprocess_text (in module ml4ir.base.features.preprocessing)
Q
query_key (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
R
rank (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
RankingModel (class in ml4ir.applications.ranking.model.ranking_model)
RankingPipeline (class in ml4ir.applications.ranking.pipeline)
RankOneListNet (class in ml4ir.applications.ranking.model.losses.listwise_losses)
read() (in module ml4ir.base.data.csv_reader)
(in module ml4ir.base.data.tfrecord_reader)
read_df() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
read_df_list() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
read_json() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
read_text_file() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.spark_io.SparkIO method)
read_yaml() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
RelevanceDataset (class in ml4ir.base.data.relevance_dataset)
RelevanceLossBase (class in ml4ir.base.model.losses.loss_base)
RelevanceModel (class in ml4ir.base.model.relevance_model)
RelevancePipeline (class in ml4ir.base.pipeline)
RelevanceScorer (class in ml4ir.base.model.scoring.scoring_model)
rm_dir() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
rm_file() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
(ml4ir.base.io.spark_io.SparkIO method)
run() (ml4ir.base.pipeline.RelevancePipeline method)
run_kfold_analysis() (ml4ir.applications.classification.pipeline.ClassificationPipeline method)
(ml4ir.applications.ranking.pipeline.RankingPipeline method)
run_pipeline() (ml4ir.base.pipeline.RelevancePipeline method)
run_ttest() (ml4ir.base.model.relevance_model.RelevanceModel method)
S
save() (ml4ir.applications.ranking.model.ranking_model.RankingModel method)
(ml4ir.base.model.relevance_model.RelevanceModel method)
save_numpy_array() (ml4ir.base.io.local_io.LocalIO method)
sequence_features (ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
SequenceExampleFeatureConfig (class in ml4ir.base.features.feature_config)
set_feature() (ml4ir.base.features.feature_config.FeatureConfig method)
set_logger() (ml4ir.base.io.file_io.FileIO method)
set_seeds() (ml4ir.base.pipeline.RelevancePipeline method)
setup_logging() (ml4ir.base.pipeline.RelevancePipeline method)
SigmoidCrossEntropy (class in ml4ir.applications.ranking.model.losses.pointwise_losses)
SparkIO (class in ml4ir.base.io.spark_io)
split_and_pad_string (in module ml4ir.base.features.preprocessing)
T
test_step() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
TFNativeOpLayer (class in ml4ir.base.features.feature_fns.tf_native)
TFRecordExampleParser (class in ml4ir.base.data.tfrecord_reader)
TFRecordParser (class in ml4ir.base.data.tfrecord_reader)
TFRecordSequenceExampleParser (class in ml4ir.base.data.tfrecord_reader)
Top5CategoricalAccuracy (class in ml4ir.applications.classification.model.metrics.metrics_impl)
train_features (ml4ir.base.features.feature_config.ExampleFeatureConfig attribute)
(ml4ir.base.features.feature_config.FeatureConfig attribute)
(ml4ir.base.features.feature_config.SequenceExampleFeatureConfig attribute)
train_step() (ml4ir.base.model.scoring.scoring_model.RelevanceScorer method)
train_val_test_split() (ml4ir.base.data.relevance_dataset.RelevanceDataset method)
U
UnivariateInteractionModel (class in ml4ir.base.model.scoring.interaction_model)
update_state() (ml4ir.applications.classification.model.metrics.metrics_impl.Top5CategoricalAccuracy method)
V
validate_args() (ml4ir.applications.ranking.pipeline.RankingPipeline method)
VOCABULARY_FILE (ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingToEncodingBiLSTM attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFile attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalEmbeddingWithVocabularyFileAndDropout attribute)
(ml4ir.base.features.feature_fns.categorical.CategoricalIndicatorWithVocabularyFile attribute)
W
write_df() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
write_from_df() (in module ml4ir.base.data.tfrecord_writer)
write_from_files() (in module ml4ir.base.data.tfrecord_writer)
write_json() (ml4ir.base.io.file_io.FileIO method)
(ml4ir.base.io.local_io.LocalIO method)
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