Index

B

batch_predict() (sasrec.model.SASREC method)

best_score (sasrec.model.SASREC attribute)

C

call() (sasrec.model.Encoder method) (sasrec.model.EncoderLayer method) (sasrec.model.LayerNormalization method) (sasrec.model.MultiHeadAttention method) (sasrec.model.PointWiseFeedForward method) (sasrec.model.SASREC method)

call_() (sasrec.model.EncoderLayer method) col_sep (sasrec.util.SASRecDataSet attribute) create_combined_dataset() (sasrec.model.SASREC method) create_combined_dataset_pred() (sasrec.model.SASREC method)

E

embedding() (sasrec.model.SASREC method) Encoder (class in sasrec.model)

EncoderLayer (class in sasrec.model) epoch (sasrec.model.SASREC attribute) evaluate() (sasrec.model.SASREC method)

F

filename (sasrec.util.SASRecDataSet attribute)

filter_k_core() (in module sasrec.util)

G

get_user_item_score() (sasrec.model.SASREC method)

H

history (sasrec.model.SASREC attribute)

I

itemnum (sasrec.util.SASRecDataSet attribute)

Items (sasrec.util.SASRecDataSet attribute)

L

LayerNormalization (class in sasrec.model)

load_model() (in module sasrec.util) loss_function() (sasrec.model.SASREC method)

M

min_rating_filter_pandas() (in module sasrec.util) module sasrec.model sasrec.util

MultiHeadAttention (class in sasrec.model)

O

old_get_user_item_score() (sasrec.model.SASREC method)

P

PointWiseFeedForward (class in sasrec.model)

predict() (sasrec.model.SASREC method)

R

recommend_item() (sasrec.model.SASREC method)

S

sample_val_users() (sasrec.model.SASREC method) SASREC (class in sasrec.model) sasrec.model module

sasrec.util module SASRecDataSet (class in sasrec.util) save() (sasrec.model.SASREC method)

T

train() (sasrec.model.SASREC method)

U

User (sasrec.util.SASRecDataSet attribute) user_test (sasrec.util.SASRecDataSet attribute)

user_train (sasrec.util.SASRecDataSet attribute) user_valid (sasrec.util.SASRecDataSet attribute) usernum (sasrec.util.SASRecDataSet attribute)

V

val_users (sasrec.model.SASREC attribute)