Recommenders
staging
Contents:
Utils
Datasets
Evaluation
Recommender algorithms
Hyperparameter tuning
Recommenders
Docs
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
X
_
__init__() (recommenders.datasets.pandas_df_utils.LibffmConverter method)
(recommenders.datasets.pandas_df_utils.PandasHash method)
(recommenders.datasets.sparse.AffinityMatrix method)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
(recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method)
(recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method)
(recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method)
(recommenders.models.deeprec.deeprec_utils.HParams method)
(recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator method)
(recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
(recommenders.models.deeprec.io.iterator.FFMTextIterator method)
(recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator method)
(recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method)
(recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.deeprec.models.dkn.DKN method)
(recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.deeprec.models.sequential.caser.CaserModel method)
(recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell method)
(recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell method)
(recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method)
(recommenders.models.deeprec.models.sequential.sum_cells.SUMCell method)
(recommenders.models.geoimc.geoimc_data.DataPtr method)
(recommenders.models.geoimc.geoimc_data.Dataset method)
(recommenders.models.geoimc.geoimc_data.ML_100K method)
(recommenders.models.geoimc.geoimc_predict.Inferer method)
(recommenders.models.geoimc.geoimc_predict.PlainScalarProduct method)
(recommenders.models.lightgbm.lightgbm_utils.NumEncoder method)
(recommenders.models.ncf.dataset.DataFile method)
(recommenders.models.ncf.dataset.Dataset method)
(recommenders.models.ncf.dataset.NegativeSampler method)
(recommenders.models.ncf.ncf_singlenode.NCF method)
(recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
(recommenders.models.newsrec.models.layers.AttLayer2 method)
(recommenders.models.newsrec.models.layers.ComputeMasking method)
(recommenders.models.newsrec.models.layers.OverwriteMasking method)
(recommenders.models.newsrec.models.layers.SelfAttention method)
(recommenders.models.newsrec.models.lstur.LSTURModel method)
(recommenders.models.newsrec.models.naml.NAMLModel method)
(recommenders.models.newsrec.models.npa.NPAModel method)
(recommenders.models.newsrec.models.nrms.NRMSModel method)
(recommenders.models.rbm.rbm.RBM method)
(recommenders.models.rlrmc.RLRMCdataset.RLRMCdataset method)
(recommenders.models.sar.sar_singlenode.SARSingleNode method)
(recommenders.models.sasrec.model.Encoder method)
(recommenders.models.sasrec.model.EncoderLayer method)
(recommenders.models.sasrec.model.LayerNormalization method)
(recommenders.models.sasrec.model.MultiHeadAttention method)
(recommenders.models.sasrec.model.PointWiseFeedForward method)
(recommenders.models.sasrec.model.SASREC method)
(recommenders.models.sasrec.sampler.WarpSampler method)
(recommenders.models.sasrec.ssept.SSEPT method)
(recommenders.models.sasrec.util.SASRecDataSet method)
(recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
(recommenders.models.vae.multinomial_vae.AnnealingCallback method)
(recommenders.models.vae.multinomial_vae.Metrics method)
(recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.AnnealingCallback method)
(recommenders.models.vae.standard_vae.Metrics method)
(recommenders.models.vae.standard_vae.StandardVAE method)
(recommenders.utils.tf_utils.MetricsLogger method)
(recommenders.utils.timer.Timer method)
A
A2SVDModel (class in recommenders.models.deeprec.models.sequential.asvd)
AffinityMatrix (class in recommenders.datasets.sparse)
AnnealingCallback (class in recommenders.models.vae.multinomial_vae)
(class in recommenders.models.vae.standard_vae)
AttLayer2 (class in recommenders.models.newsrec.models.layers)
auc() (in module recommenders.evaluation.python_evaluation)
B
BaseIterator (class in recommenders.models.deeprec.io.iterator)
BaseModel (class in recommenders.models.deeprec.models.base_model)
(class in recommenders.models.newsrec.models.base_model)
batch_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
(recommenders.models.sasrec.sampler.WarpSampler attribute)
batch_training() (recommenders.models.rbm.rbm.RBM method)
binarize() (in module recommenders.utils.python_utils)
binomial_sampling() (recommenders.models.rbm.rbm.RBM method)
body_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
build() (recommenders.models.newsrec.models.layers.AttLayer2 method)
(recommenders.models.newsrec.models.layers.OverwriteMasking method)
(recommenders.models.newsrec.models.layers.SelfAttention method)
build_feature_columns() (in module recommenders.models.wide_deep.wide_deep_utils)
build_model() (in module recommenders.models.wide_deep.wide_deep_utils)
build_optimizer() (in module recommenders.utils.tf_utils)
C
cal_metric() (in module recommenders.models.deeprec.deeprec_utils)
call() (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell method)
(recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell method)
(recommenders.models.deeprec.models.sequential.sum_cells.SUMCell method)
(recommenders.models.deeprec.models.sequential.sum_cells.SUMV2Cell method)
(recommenders.models.newsrec.models.layers.AttLayer2 method)
(recommenders.models.newsrec.models.layers.ComputeMasking method)
(recommenders.models.newsrec.models.layers.OverwriteMasking method)
(recommenders.models.newsrec.models.layers.SelfAttention method)
(recommenders.models.sasrec.model.Encoder method)
(recommenders.models.sasrec.model.EncoderLayer method)
(recommenders.models.sasrec.model.LayerNormalization method)
(recommenders.models.sasrec.model.MultiHeadAttention method)
(recommenders.models.sasrec.model.PointWiseFeedForward method)
(recommenders.models.sasrec.model.SASREC method)
(recommenders.models.sasrec.ssept.SSEPT method)
call_() (recommenders.models.sasrec.model.EncoderLayer method)
cartesian_product() (in module recommenders.models.fastai.fastai_utils)
CaserModel (class in recommenders.models.deeprec.models.sequential.caser)
catalog_coverage() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
check_nn_config() (in module recommenders.models.deeprec.deeprec_utils)
(in module recommenders.models.newsrec.newsrec_utils)
check_type() (in module recommenders.models.deeprec.deeprec_utils)
(in module recommenders.models.newsrec.newsrec_utils)
clean_dataframe() (in module recommenders.datasets.covid_utils)
(recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
clear_memory_all_gpus() (in module recommenders.utils.gpu_utils)
col_sep (recommenders.models.sasrec.util.SASRecDataSet attribute)
col_spliter (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
compare_metric() (in module recommenders.models.lightfm.lightfm_utils)
compute_affinity_matrix() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
compute_cooccurrence_matrix() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
compute_mask() (recommenders.models.newsrec.models.layers.AttLayer2 method)
compute_output_shape() (recommenders.models.newsrec.models.layers.AttLayer2 method)
(recommenders.models.newsrec.models.layers.ComputeMasking method)
(recommenders.models.newsrec.models.layers.OverwriteMasking method)
(recommenders.models.newsrec.models.layers.SelfAttention method)
compute_ranking_predictions() (in module recommenders.models.surprise.surprise_utils)
compute_time_decay() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
ComputeMasking (class in recommenders.models.newsrec.models.layers)
cosine_similarity() (in module recommenders.utils.python_utils)
create_combined_dataset() (recommenders.models.sasrec.model.SASREC method)
create_hparams() (in module recommenders.models.deeprec.deeprec_utils)
(in module recommenders.models.newsrec.newsrec_utils)
create_norm_adj_mat() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method)
D
data_pipeline() (recommenders.models.rbm.rbm.RBM method)
data_preprocessing() (in module recommenders.datasets.amazon_reviews)
DataFile (class in recommenders.models.ncf.dataset)
DataPtr (class in recommenders.models.geoimc.geoimc_data)
Dataset (class in recommenders.models.geoimc.geoimc_data)
(class in recommenders.models.ncf.dataset)
dcg_score() (in module recommenders.models.deeprec.deeprec_utils)
df2coo() (recommenders.models.geoimc.geoimc_data.ML_100K method)
dim (recommenders.models.newsrec.models.layers.AttLayer2 attribute)
dim1 (in module recommenders.models.newsrec.models.layers)
dim2 (in module recommenders.models.newsrec.models.layers)
dim3 (in module recommenders.models.newsrec.models.layers)
display_metrics() (recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.StandardVAE method)
distributional_coverage() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
diversity() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
DKN (class in recommenders.models.deeprec.models.dkn)
DKNItem2Item (class in recommenders.models.deeprec.models.dkn_item2item)
DKNItem2itemTextIterator (class in recommenders.models.deeprec.io.dkn_item2item_iterator)
DKNTextIterator (class in recommenders.models.deeprec.io.dkn_iterator)
download_and_extract() (in module recommenders.datasets.amazon_reviews)
download_and_extract_glove() (in module recommenders.datasets.mind)
download_criteo() (in module recommenders.datasets.criteo)
download_deeprec_resources() (in module recommenders.models.deeprec.deeprec_utils)
download_mind() (in module recommenders.datasets.mind)
download_movielens() (in module recommenders.datasets.movielens)
download_path() (in module recommenders.datasets.download_utils)
E
embedding() (recommenders.models.sasrec.model.SASREC method)
EmptyFileException
Encoder (class in recommenders.models.sasrec.model)
EncoderLayer (class in recommenders.models.sasrec.model)
eval() (recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
eval_out() (recommenders.models.rbm.rbm.RBM method)
evaluate() (recommenders.models.sasrec.model.SASREC method)
evaluate_valid() (recommenders.models.sasrec.model.SASREC method)
evaluation_log_hook() (in module recommenders.utils.tf_utils)
exp_var() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method)
exponential_decay() (in module recommenders.utils.python_utils)
export_model() (in module recommenders.utils.tf_utils)
extract_criteo() (in module recommenders.datasets.criteo)
extract_mind() (in module recommenders.datasets.mind)
extract_movielens() (in module recommenders.datasets.movielens)
F
feature_count (recommenders.datasets.pandas_df_utils.LibffmConverter attribute)
FFMTextIterator (class in recommenders.models.deeprec.io.iterator)
field_count (recommenders.datasets.pandas_df_utils.LibffmConverter attribute)
filename (recommenders.models.sasrec.util.SASRecDataSet attribute)
FileNotSortedException
filepath (recommenders.datasets.pandas_df_utils.LibffmConverter attribute)
filter_by() (in module recommenders.datasets.pandas_df_utils)
filter_k_core() (in module recommenders.datasets.split_utils)
find_wikidata_id() (in module recommenders.datasets.wikidata)
fit() (recommenders.datasets.pandas_df_utils.LibffmConverter method)
(recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method)
(recommenders.models.ncf.ncf_singlenode.NCF method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
(recommenders.models.rbm.rbm.RBM method)
(recommenders.models.sar.sar_singlenode.SARSingleNode method)
(recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
(recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.StandardVAE method)
fit_transform() (recommenders.datasets.pandas_df_utils.LibffmConverter method)
(recommenders.models.lightgbm.lightgbm_utils.NumEncoder method)
flat_config() (in module recommenders.models.deeprec.deeprec_utils)
free_energy() (recommenders.models.rbm.rbm.RBM method)
G
gen_affinity_matrix() (recommenders.datasets.sparse.AffinityMatrix method)
gen_feed_dict() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
(recommenders.models.deeprec.io.iterator.BaseIterator method)
(recommenders.models.deeprec.io.iterator.FFMTextIterator method)
(recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method)
gen_infer_feed_dict() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
generate_embeddings() (in module recommenders.datasets.mind)
generate_graph() (recommenders.models.rbm.rbm.RBM method)
generate_param_grid() (in module recommenders.tuning.parameter_sweep)
generate_train_test_data() (recommenders.models.geoimc.geoimc_data.Dataset method)
get_config() (recommenders.models.deeprec.models.sequential.sum_cells.SUMCell method)
(recommenders.models.newsrec.models.layers.SelfAttention method)
get_cuda_version() (in module recommenders.utils.gpu_utils)
get_cudnn_version() (in module recommenders.utils.gpu_utils)
get_data() (recommenders.models.geoimc.geoimc_data.DataPtr method)
(recommenders.models.vae.multinomial_vae.AnnealingCallback method)
(recommenders.models.vae.multinomial_vae.Metrics method)
(recommenders.models.vae.standard_vae.AnnealingCallback method)
(recommenders.models.vae.standard_vae.Metrics method)
get_df() (recommenders.datasets.movielens.MockMovielensSchema class method)
get_entity() (recommenders.models.geoimc.geoimc_data.DataPtr method)
get_gpu_info() (in module recommenders.utils.gpu_utils)
get_item_based_topk() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
get_log() (recommenders.utils.tf_utils.MetricsLogger method)
get_mind_data_set() (in module recommenders.models.newsrec.newsrec_utils)
get_norm_adj_mat() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method)
get_number_gpus() (in module recommenders.utils.gpu_utils)
get_number_processors() (in module recommenders.utils.general_utils)
get_optimal_beta() (recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.StandardVAE method)
get_params() (recommenders.datasets.pandas_df_utils.LibffmConverter method)
get_physical_memory() (in module recommenders.utils.general_utils)
get_popularity_based_topk() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
get_public_domain_text() (in module recommenders.datasets.covid_utils)
get_review_data() (in module recommenders.datasets.amazon_reviews)
get_session() (in module recommenders.datasets.wikidata)
get_spark_df() (recommenders.datasets.movielens.MockMovielensSchema class method)
get_spark_schema() (in module recommenders.datasets.criteo)
get_stop_words() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
get_tokens() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
get_top_k_items() (in module recommenders.evaluation.python_evaluation)
get_top_k_recommendations() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
get_top_k_scored_items() (in module recommenders.utils.python_utils)
get_topk_most_similar_users() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
get_train_input() (in module recommenders.datasets.mind)
get_user_history() (in module recommenders.datasets.mind)
get_valid_input() (in module recommenders.datasets.mind)
get_words_and_entities() (in module recommenders.datasets.mind)
gibbs_protocol() (recommenders.models.rbm.rbm.RBM method)
gibbs_sampling() (recommenders.models.rbm.rbm.RBM method)
graph (recommenders.models.newsrec.models.base_model.BaseModel attribute)
group_labels() (recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
GRUModel (class in recommenders.models.deeprec.models.sequential.gru)
H
has_columns() (in module recommenders.datasets.pandas_df_utils)
has_same_base_dtype() (in module recommenders.datasets.pandas_df_utils)
hide_fastai_progress_bar() (in module recommenders.models.fastai.fastai_utils)
his_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
historical_item_novelty() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
hit_score() (in module recommenders.models.deeprec.deeprec_utils)
hparam (recommenders.models.newsrec.models.lstur.LSTURModel attribute)
(recommenders.models.newsrec.models.naml.NAMLModel attribute)
(recommenders.models.newsrec.models.npa.NPAModel attribute)
(recommenders.models.newsrec.models.nrms.NRMSModel attribute)
HParams (class in recommenders.models.deeprec.deeprec_utils)
hparams (recommenders.models.newsrec.models.base_model.BaseModel attribute)
I
ID_spliter (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
ImplicitCF (class in recommenders.models.deeprec.DataModel.ImplicitCF)
inclusion_index() (in module recommenders.utils.python_utils)
infer() (recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.geoimc.geoimc_predict.Inferer method)
infer_embedding() (recommenders.models.deeprec.models.dkn.DKN method)
(recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
Inferer (class in recommenders.models.geoimc.geoimc_predict)
init_behaviors() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
init_gpu() (recommenders.models.rbm.rbm.RBM method)
init_metrics() (recommenders.models.rbm.rbm.RBM method)
init_news() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
init_parameters() (recommenders.models.rbm.rbm.RBM method)
init_training_session() (recommenders.models.rbm.rbm.RBM method)
interval (recommenders.utils.timer.Timer attribute)
invert_dictionary() (in module recommenders.utils.general_utils)
is_databricks() (in module recommenders.utils.notebook_utils)
is_jupyter() (in module recommenders.utils.notebook_utils)
itemnum (recommenders.models.sasrec.sampler.WarpSampler attribute)
(recommenders.models.sasrec.util.SASRecDataSet attribute)
Items (recommenders.models.sasrec.util.SASRecDataSet attribute)
J
jaccard() (in module recommenders.utils.python_utils)
L
LayerNormalization (class in recommenders.models.sasrec.model)
length_normalize() (in module recommenders.models.geoimc.geoimc_utils)
lexicographers_mutual_information() (in module recommenders.utils.python_utils)
LibffmConverter (class in recommenders.datasets.pandas_df_utils)
lift() (in module recommenders.utils.python_utils)
LightGCN (class in recommenders.models.deeprec.models.graphrec.lightgcn)
line_graph() (in module recommenders.utils.plot)
load() (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.ncf.ncf_singlenode.NCF method)
(recommenders.models.rbm.rbm.RBM method)
load_data() (recommenders.models.geoimc.geoimc_data.ML_100K method)
(recommenders.models.ncf.dataset.DataFile method)
load_data_from_file() (recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator method)
(recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
(recommenders.models.deeprec.io.iterator.BaseIterator method)
(recommenders.models.deeprec.io.iterator.FFMTextIterator method)
(recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method)
(recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
load_dict() (in module recommenders.models.deeprec.deeprec_utils)
(recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
load_glove_matrix() (in module recommenders.datasets.mind)
load_impression_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
load_infer_data_from_file() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
load_item_df() (in module recommenders.datasets.movielens)
load_model() (recommenders.models.deeprec.models.base_model.BaseModel method)
load_news_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
load_pandas_df() (in module recommenders.datasets.covid_utils)
(in module recommenders.datasets.criteo)
(in module recommenders.datasets.movielens)
load_spark_df() (in module recommenders.datasets.criteo)
(in module recommenders.datasets.movielens)
load_user_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
load_yaml() (in module recommenders.models.deeprec.deeprec_utils)
log() (recommenders.utils.tf_utils.MetricsLogger method)
logloss() (in module recommenders.evaluation.python_evaluation)
loss_function() (recommenders.models.sasrec.model.SASREC method)
(recommenders.models.sasrec.ssept.SSEPT method)
losses() (recommenders.models.rbm.rbm.RBM method)
LossHistory (class in recommenders.models.vae.multinomial_vae)
(class in recommenders.models.vae.standard_vae)
lru_cache_df() (in module recommenders.datasets.pandas_df_utils)
LSTURModel (class in recommenders.models.newsrec.models.lstur)
M
mae() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method)
map_at_k() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method)
map_back_sparse() (recommenders.datasets.sparse.AffinityMatrix method)
Mask() (recommenders.models.newsrec.models.layers.SelfAttention method)
maxlen (recommenders.models.sasrec.sampler.WarpSampler attribute)
maybe_download() (in module recommenders.datasets.download_utils)
mean_center() (in module recommenders.models.geoimc.geoimc_utils)
merge_ranking_true_pred() (in module recommenders.evaluation.python_evaluation)
merge_rating_true_pred() (in module recommenders.evaluation.python_evaluation)
Metrics (class in recommenders.models.vae.multinomial_vae)
(class in recommenders.models.vae.standard_vae)
MetricsLogger (class in recommenders.utils.tf_utils)
min_rating_filter_pandas() (in module recommenders.datasets.split_utils)
min_rating_filter_spark() (in module recommenders.datasets.split_utils)
MINDAllIterator (class in recommenders.models.newsrec.io.mind_all_iterator)
MINDIterator (class in recommenders.models.newsrec.io.mind_iterator)
MissingFieldsException
MissingUserException
ML_100K (class in recommenders.models.geoimc.geoimc_data)
MockMovielensSchema (class in recommenders.datasets.movielens)
MockMovielensSchema.Config (class in recommenders.datasets.movielens)
model_perf_plots() (in module recommenders.models.lightfm.lightfm_utils)
mrr_score() (in module recommenders.models.deeprec.deeprec_utils)
Mult_VAE (class in recommenders.models.vae.multinomial_vae)
MultiHeadAttention (class in recommenders.models.sasrec.model)
multinomial_distribution() (recommenders.models.rbm.rbm.RBM method)
multinomial_sampling() (recommenders.models.rbm.rbm.RBM method)
mutual_information() (in module recommenders.utils.python_utils)
N
n_workers (recommenders.models.sasrec.sampler.WarpSampler attribute)
NAMLModel (class in recommenders.models.newsrec.models.naml)
NCF (class in recommenders.models.ncf.ncf_singlenode)
ndcg_at_k() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method)
ndcg_per_epoch() (recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.StandardVAE method)
ndcg_score() (in module recommenders.models.deeprec.deeprec_utils)
negative_feedback_sampler() (in module recommenders.datasets.pandas_df_utils)
NegativeSampler (class in recommenders.models.ncf.dataset)
newsample() (in module recommenders.models.newsrec.newsrec_utils)
NextItNetIterator (class in recommenders.models.deeprec.io.nextitnet_iterator)
NextItNetModel (class in recommenders.models.deeprec.models.sequential.nextitnet)
nn_batch_generator() (recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.StandardVAE method)
nodes_to_replicas() (in module recommenders.utils.k8s_utils)
normalize() (recommenders.models.geoimc.geoimc_data.Dataset method)
novelty() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
NPAModel (class in recommenders.models.newsrec.models.npa)
npratio (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
NRMSModel (class in recommenders.models.newsrec.models.nrms)
NumEncoder (class in recommenders.models.lightgbm.lightgbm_utils)
numpy_stratified_split() (in module recommenders.datasets.python_splitters)
O
on_batch_end() (recommenders.models.vae.multinomial_vae.AnnealingCallback method)
(recommenders.models.vae.standard_vae.AnnealingCallback method)
on_epoch_end() (recommenders.models.vae.multinomial_vae.AnnealingCallback method)
(recommenders.models.vae.multinomial_vae.LossHistory method)
(recommenders.models.vae.multinomial_vae.Metrics method)
(recommenders.models.vae.standard_vae.AnnealingCallback method)
(recommenders.models.vae.standard_vae.LossHistory method)
(recommenders.models.vae.standard_vae.Metrics method)
on_train_begin() (recommenders.models.vae.multinomial_vae.AnnealingCallback method)
(recommenders.models.vae.multinomial_vae.LossHistory method)
(recommenders.models.vae.multinomial_vae.Metrics method)
(recommenders.models.vae.standard_vae.AnnealingCallback method)
(recommenders.models.vae.standard_vae.LossHistory method)
(recommenders.models.vae.standard_vae.Metrics method)
output_size (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell attribute)
(recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell attribute)
(recommenders.models.deeprec.models.sequential.sum_cells.SUMCell attribute)
OverwriteMasking (class in recommenders.models.newsrec.models.layers)
P
pandas_input_fn() (in module recommenders.utils.tf_utils)
pandas_input_fn_for_saved_model() (in module recommenders.utils.tf_utils)
PandasHash (class in recommenders.datasets.pandas_df_utils)
parse_file() (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method)
parser_one_line() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method)
(recommenders.models.deeprec.io.iterator.BaseIterator method)
(recommenders.models.deeprec.io.iterator.FFMTextIterator method)
(recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method)
(recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator method)
PersonalizedAttentivePooling() (in module recommenders.models.newsrec.models.layers)
placeholder() (recommenders.models.rbm.rbm.RBM method)
PlainScalarProduct (class in recommenders.models.geoimc.geoimc_predict)
PointWiseFeedForward (class in recommenders.models.sasrec.model)
pre_run_cell() (in module recommenders.utils.notebook_memory_management)
precision_at_k() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method)
predict() (in module recommenders.models.cornac.cornac_utils)
(in module recommenders.models.surprise.surprise_utils)
(recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method)
(recommenders.models.ncf.ncf_singlenode.NCF method)
(recommenders.models.rbm.rbm.RBM method)
(recommenders.models.sar.sar_singlenode.SARSingleNode method)
(recommenders.models.sasrec.model.SASREC method)
(recommenders.models.sasrec.ssept.SSEPT method)
predict_ranking() (in module recommenders.models.cornac.cornac_utils)
prepare_all_predictions() (in module recommenders.models.lightfm.lightfm_utils)
prepare_hparams() (in module recommenders.models.deeprec.deeprec_utils)
(in module recommenders.models.newsrec.newsrec_utils)
prepare_test_df() (in module recommenders.models.lightfm.lightfm_utils)
process_split_ratio() (in module recommenders.datasets.split_utils)
python_chrono_split() (in module recommenders.datasets.python_splitters)
python_random_split() (in module recommenders.datasets.python_splitters)
python_stratified_split() (in module recommenders.datasets.python_splitters)
Q
qps_to_replicas() (in module recommenders.utils.k8s_utils)
query_entity_description() (in module recommenders.datasets.wikidata)
query_entity_links() (in module recommenders.datasets.wikidata)
R
RBM (class in recommenders.models.rbm.rbm)
read_clickhistory() (in module recommenders.datasets.mind)
read_linked_entities() (in module recommenders.datasets.wikidata)
recall_at_k() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method)
recommend_k_items() (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.rbm.rbm.RBM method)
(recommenders.models.sar.sar_singlenode.SARSingleNode method)
(recommenders.models.vae.multinomial_vae.Metrics method)
(recommenders.models.vae.multinomial_vae.Mult_VAE method)
(recommenders.models.vae.standard_vae.Metrics method)
(recommenders.models.vae.standard_vae.StandardVAE method)
recommend_top_k_items() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
recommenders.datasets.amazon_reviews (module)
recommenders.datasets.covid_utils (module)
recommenders.datasets.criteo (module)
recommenders.datasets.download_utils (module)
recommenders.datasets.mind (module)
recommenders.datasets.movielens (module)
recommenders.datasets.pandas_df_utils (module)
recommenders.datasets.python_splitters (module)
recommenders.datasets.spark_splitters (module)
recommenders.datasets.sparse (module)
recommenders.datasets.split_utils (module)
recommenders.datasets.wikidata (module)
recommenders.evaluation.python_evaluation (module)
recommenders.evaluation.spark_evaluation (module)
recommenders.models.cornac.cornac_utils (module)
recommenders.models.deeprec.DataModel.ImplicitCF (module)
recommenders.models.deeprec.deeprec_utils (module)
recommenders.models.deeprec.io.dkn_item2item_iterator (module)
recommenders.models.deeprec.io.dkn_iterator (module)
recommenders.models.deeprec.io.iterator (module)
recommenders.models.deeprec.io.nextitnet_iterator (module)
recommenders.models.deeprec.io.sequential_iterator (module)
recommenders.models.deeprec.models.base_model (module)
recommenders.models.deeprec.models.dkn (module)
recommenders.models.deeprec.models.dkn_item2item (module)
recommenders.models.deeprec.models.graphrec.lightgcn (module)
recommenders.models.deeprec.models.sequential.asvd (module)
recommenders.models.deeprec.models.sequential.caser (module)
recommenders.models.deeprec.models.sequential.gru (module)
recommenders.models.deeprec.models.sequential.nextitnet (module)
recommenders.models.deeprec.models.sequential.rnn_cell_implement (module)
recommenders.models.deeprec.models.sequential.sequential_base_model (module)
recommenders.models.deeprec.models.sequential.sli_rec (module)
recommenders.models.deeprec.models.sequential.sum (module)
recommenders.models.deeprec.models.sequential.sum_cells (module)
recommenders.models.deeprec.models.xDeepFM (module)
recommenders.models.fastai.fastai_utils (module)
recommenders.models.geoimc.geoimc_data (module)
recommenders.models.geoimc.geoimc_predict (module)
recommenders.models.geoimc.geoimc_utils (module)
recommenders.models.lightfm.lightfm_utils (module)
recommenders.models.lightgbm.lightgbm_utils (module)
recommenders.models.ncf.dataset (module)
recommenders.models.ncf.ncf_singlenode (module)
recommenders.models.newsrec.io.mind_all_iterator (module)
recommenders.models.newsrec.io.mind_iterator (module)
recommenders.models.newsrec.models.base_model (module)
recommenders.models.newsrec.models.layers (module)
recommenders.models.newsrec.models.lstur (module)
recommenders.models.newsrec.models.naml (module)
recommenders.models.newsrec.models.npa (module)
recommenders.models.newsrec.models.nrms (module)
recommenders.models.newsrec.newsrec_utils (module)
recommenders.models.rbm.rbm (module)
recommenders.models.rlrmc.RLRMCdataset (module)
recommenders.models.sar.sar_singlenode (module)
recommenders.models.sasrec.model (module)
recommenders.models.sasrec.sampler (module)
recommenders.models.sasrec.ssept (module)
recommenders.models.sasrec.util (module)
recommenders.models.surprise.surprise_utils (module)
recommenders.models.tfidf.tfidf_utils (module)
recommenders.models.vae.multinomial_vae (module)
recommenders.models.vae.standard_vae (module)
recommenders.models.wide_deep.wide_deep_utils (module)
recommenders.tuning.parameter_sweep (module)
recommenders.utils.general_utils (module)
recommenders.utils.gpu_utils (module)
recommenders.utils.k8s_utils (module)
recommenders.utils.notebook_memory_management (module)
recommenders.utils.notebook_utils (module)
recommenders.utils.plot (module)
recommenders.utils.python_utils (module)
recommenders.utils.spark_utils (module)
recommenders.utils.tf_utils (module)
recommenders.utils.timer (module)
reduce_dims() (in module recommenders.models.geoimc.geoimc_utils)
(recommenders.models.geoimc.geoimc_data.Dataset method)
remove_duplicates() (in module recommenders.datasets.covid_utils)
remove_nan() (in module recommenders.datasets.covid_utils)
replicas_to_qps() (in module recommenders.utils.k8s_utils)
rescale() (in module recommenders.utils.python_utils)
retrieve_text() (in module recommenders.datasets.covid_utils)
RLRMCdataset (class in recommenders.models.rlrmc.RLRMCdataset)
rmse() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method)
rsquared() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method)
run_eval() (recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item method)
(recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
run_get_embedding() (recommenders.models.deeprec.models.dkn.DKN method)
S
sample() (recommenders.models.ncf.dataset.NegativeSampler method)
sample_function() (in module recommenders.models.sasrec.sampler)
sample_hidden_units() (recommenders.models.rbm.rbm.RBM method)
sample_visible_units() (recommenders.models.rbm.rbm.RBM method)
SARSingleNode (class in recommenders.models.sar.sar_singlenode)
SASREC (class in recommenders.models.sasrec.model)
SASRecDataSet (class in recommenders.models.sasrec.util)
save() (recommenders.models.ncf.ncf_singlenode.NCF method)
(recommenders.models.rbm.rbm.RBM method)
score() (in module recommenders.models.fastai.fastai_utils)
(recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method)
(recommenders.models.sar.sar_singlenode.SARSingleNode method)
search_wikidata() (in module recommenders.datasets.wikidata)
seed (recommenders.models.newsrec.models.base_model.BaseModel attribute)
SelfAttention (class in recommenders.models.newsrec.models.layers)
SequentialBaseModel (class in recommenders.models.deeprec.models.sequential.sequential_base_model)
SequentialIterator (class in recommenders.models.deeprec.io.sequential_iterator)
serendipity() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
set_index() (recommenders.models.sar.sar_singlenode.SARSingleNode method)
sim() (recommenders.models.geoimc.geoimc_predict.PlainScalarProduct method)
similar_items() (in module recommenders.models.lightfm.lightfm_utils)
similar_users() (in module recommenders.models.lightfm.lightfm_utils)
SLI_RECModel (class in recommenders.models.deeprec.models.sequential.sli_rec)
spark_chrono_split() (in module recommenders.datasets.spark_splitters)
spark_random_split() (in module recommenders.datasets.spark_splitters)
spark_stratified_split() (in module recommenders.datasets.spark_splitters)
spark_timestamp_split() (in module recommenders.datasets.spark_splitters)
SparkDiversityEvaluation (class in recommenders.evaluation.spark_evaluation)
SparkRankingEvaluation (class in recommenders.evaluation.spark_evaluation)
SparkRatingEvaluation (class in recommenders.evaluation.spark_evaluation)
split_pandas_data_with_ratios() (in module recommenders.datasets.split_utils)
SSEPT (class in recommenders.models.sasrec.ssept)
StandardVAE (class in recommenders.models.vae.standard_vae)
start() (recommenders.utils.timer.Timer method)
start_or_get_spark() (in module recommenders.utils.spark_utils)
start_watching_memory() (in module recommenders.utils.notebook_memory_management)
state_size (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell attribute)
(recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell attribute)
(recommenders.models.deeprec.models.sequential.sum_cells.SUMCell attribute)
stop() (recommenders.utils.timer.Timer method)
stop_watching_memory() (in module recommenders.utils.notebook_memory_management)
SUMCell (class in recommenders.models.deeprec.models.sequential.sum_cells)
SUMModel (class in recommenders.models.deeprec.models.sequential.sum)
SUMV2Cell (class in recommenders.models.deeprec.models.sequential.sum_cells)
surprise_trainset_to_df() (in module recommenders.models.surprise.surprise_utils)
T
test_iterator (recommenders.models.newsrec.models.base_model.BaseModel attribute)
test_loader() (recommenders.models.ncf.dataset.Dataset method)
TfidfRecommender (class in recommenders.models.tfidf.tfidf_utils)
Time4ALSTMCell (class in recommenders.models.deeprec.models.sequential.rnn_cell_implement)
Time4LSTMCell (class in recommenders.models.deeprec.models.sequential.rnn_cell_implement)
Timer (class in recommenders.utils.timer)
title_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute)
(recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute)
tokenize_text() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method)
track_model_metrics() (in module recommenders.models.lightfm.lightfm_utils)
train() (recommenders.models.deeprec.models.base_model.BaseModel method)
(recommenders.models.newsrec.models.base_model.BaseModel method)
(recommenders.models.sasrec.model.SASREC method)
train_iterator (recommenders.models.newsrec.models.base_model.BaseModel attribute)
train_loader() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method)
(recommenders.models.ncf.dataset.Dataset method)
transform() (recommenders.datasets.pandas_df_utils.LibffmConverter method)
(recommenders.models.lightgbm.lightgbm_utils.NumEncoder method)
U
unpackbits() (in module recommenders.models.lightgbm.lightgbm_utils)
unzip_file() (in module recommenders.datasets.download_utils)
User (recommenders.models.sasrec.sampler.WarpSampler attribute)
(recommenders.models.sasrec.util.SASRecDataSet attribute)
user_diversity() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
user_item_pairs() (in module recommenders.datasets.pandas_df_utils)
user_item_serendipity() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
user_serendipity() (in module recommenders.evaluation.python_evaluation)
(recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method)
user_test (recommenders.models.sasrec.util.SASRecDataSet attribute)
user_train (recommenders.models.sasrec.util.SASRecDataSet attribute)
user_valid (recommenders.models.sasrec.util.SASRecDataSet attribute)
usernum (recommenders.models.sasrec.sampler.WarpSampler attribute)
(recommenders.models.sasrec.util.SASRecDataSet attribute)
V
values() (recommenders.models.deeprec.deeprec_utils.HParams method)
W
WarpSampler (class in recommenders.models.sasrec.sampler)
watch_memory() (in module recommenders.utils.notebook_memory_management)
word2vec_embedding (recommenders.models.newsrec.models.lstur.LSTURModel attribute)
(recommenders.models.newsrec.models.naml.NAMLModel attribute)
(recommenders.models.newsrec.models.npa.NPAModel attribute)
(recommenders.models.newsrec.models.nrms.NRMSModel attribute)
word_tokenize() (in module recommenders.datasets.mind)
(in module recommenders.models.newsrec.newsrec_utils)
X
XDeepFMModel (class in recommenders.models.deeprec.models.xDeepFM)
Read the Docs
v: staging
Versions
latest
1.0.0
staging
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.