T-RECS
Contents:
T-RECS (Tool for RecSys Simulation)
Reference
T-RECS
»
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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F
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G
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I
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M
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N
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O
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P
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R
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S
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T
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U
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V
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_old_histogram (metrics.measurement.InteractionSpread attribute)
_old_infection_state (metrics.measurement.DiffusionTreeMeasurement attribute)
_system_state (base.base_components.SystemStateModule attribute)
A
actual_creator_profiles (components.creators.Creators attribute)
actual_item_attributes (models.recommender.BaseRecommender property)
actual_user_item_scores (models.recommender.BaseRecommender property)
actual_user_profiles (components.users.Users attribute)
(models.recommender.BaseRecommender property)
actual_user_scores (components.users.Users attribute)
ActualUserProfiles (class in components.users)
ActualUserScores (class in components.users)
add_friends() (components.socialgraph.BinarySocialGraph method)
add_new_item_indices() (models.recommender.BaseRecommender method)
add_new_user_indices() (models.recommender.BaseRecommender method)
add_state_variable() (base.base_components.SystemStateModule method)
add_users() (models.recommender.BaseRecommender method)
append_item_scores() (components.users.ActualUserScores method)
(components.users.PredictedScores method)
append_new_items() (components.items.Items method)
append_new_users() (components.users.ActualUserProfiles method)
(components.users.PredictedUserProfiles method)
(components.users.Users method)
append_user_scores() (components.users.ActualUserScores method)
(components.users.PredictedScores method)
attention_transform() (components.users.Users method)
AverageFeatureScoreRange (class in metrics.measurement)
B
base.base_components
module
BaseComponent (class in base.base_components)
BaseObservable (class in base.base_components)
BaseRecommender (class in models.recommender)
BassModel (class in models.bass)
BinarySocialGraph (class in components.socialgraph)
C
calc_dn_utilities() (components.users.DNUsers method)
choose_interleaved_items() (models.recommender.BaseRecommender method)
Component (class in base.base_components)
components.creators
module
components.items
module
components.socialgraph
module
components.users
module
compute_user_scores() (components.users.Users method)
ContentFiltering (class in models.content)
create_and_process_items() (models.recommender.BaseRecommender method)
create_new_items (components.creators.Creators attribute)
Creators (class in components.creators)
D
diffusion_tree (metrics.measurement.DiffusionTreeMeasurement attribute)
DiffusionTreeMeasurement (class in metrics.measurement)
DNUsers (class in components.users)
draw_diffusion_tree() (models.bass.BassModel method)
draw_tree() (metrics.measurement.DiffusionTreeMeasurement method)
F
filter_by_index() (components.users.PredictedScores method)
follow() (components.socialgraph.BinarySocialGraph method)
G
generate_items() (components.creators.Creators method)
generate_random_graph() (trecs.random.generators.SocialGraphGenerator static method)
generate_recommendations() (models.recommender.BaseRecommender method)
Generator (class in trecs.random.generators)
get_actual_user_scores() (components.users.Users method)
get_component_state() (base.base_components.BaseComponent method)
get_item_scores() (components.users.ActualUserScores method)
get_measurement() (metrics.measurement.Measurement method)
get_measurements() (models.recommender.BaseRecommender method)
get_observable() (base.base_components.BaseObservable method)
get_structural_virality() (metrics.measurement.StructuralVirality method)
(models.bass.BassModel method)
get_system_state() (models.recommender.BaseRecommender method)
get_timesteps() (base.base_components.BaseComponent method)
(metrics.measurement.Measurement method)
get_user_feedback() (components.users.DNUsers method)
(components.users.Users method)
I
indices (models.recommender.BaseRecommender attribute)
infect_users() (models.bass.InfectionState method)
infected_users() (models.bass.InfectionState method)
infection_probabilities() (models.bass.BassModel method)
InfectionState (class in models.bass)
InfectionThresholds (class in models.bass)
initialize_user_scores() (models.recommender.BaseRecommender method)
interact_with_items (components.users.Users attribute)
InteractionMeasurement (class in metrics.measurement)
interactions (models.recommender.BaseRecommender attribute)
InteractionSimilarity (class in metrics.measurement)
InteractionSpread (class in metrics.measurement)
interleaving_fn (models.recommender.BaseRecommender attribute)
Items (class in components.items)
items (models.recommender.BaseRecommender attribute)
items_hat (models.recommender.BaseRecommender attribute)
items_shown (models.recommender.BaseRecommender attribute)
M
measure() (metrics.measurement.AverageFeatureScoreRange method)
(metrics.measurement.DiffusionTreeMeasurement method)
(metrics.measurement.InteractionMeasurement method)
(metrics.measurement.InteractionSimilarity method)
(metrics.measurement.InteractionSpread method)
(metrics.measurement.Measurement method)
(metrics.measurement.MSEMeasurement method)
(metrics.measurement.RecSimilarity method)
Measurement (class in metrics.measurement)
measurement_history (metrics.measurement.Measurement attribute)
models.bass
module
models.content
module
models.popularity
module
models.recommender
module
models.social
module
module
base.base_components
components.creators
components.items
components.socialgraph
components.users
models.bass
models.content
models.popularity
models.recommender
models.social
MSEMeasurement (class in metrics.measurement)
N
name (components.items.Items attribute)
(components.items.PredictedItems attribute)
(metrics.measurement.AverageFeatureScoreRange attribute)
(metrics.measurement.DiffusionTreeMeasurement attribute)
(metrics.measurement.InteractionMeasurement attribute)
(metrics.measurement.InteractionSimilarity attribute)
(metrics.measurement.InteractionSpread attribute)
(metrics.measurement.Measurement attribute)
(metrics.measurement.MSEMeasurement attribute)
(metrics.measurement.RecSimilarity attribute)
normalize_values() (components.users.DNUsers method)
num_attrs (components.items.Items property)
(components.users.PredictedUserProfiles property)
(components.users.Users property)
num_attrs() (components.users.ActualUserProfiles method)
num_infected (models.bass.InfectionState property)
num_items (components.items.Items property)
(components.users.ActualUserScores property)
(models.recommender.BaseRecommender attribute)
num_items_per_iter (models.recommender.BaseRecommender attribute)
num_users (components.users.ActualUserProfiles property)
(components.users.ActualUserScores property)
(components.users.PredictedUserProfiles property)
(components.users.Users property)
(models.recommender.BaseRecommender attribute)
O
observe() (base.base_components.BaseComponent method)
(base.base_components.BaseObservable method)
(metrics.measurement.Measurement method)
P
PopularityRecommender (class in models.popularity)
predicted_item_attributes (models.recommender.BaseRecommender property)
predicted_scores (models.recommender.BaseRecommender attribute)
predicted_user_item_scores (models.recommender.BaseRecommender property)
predicted_user_profiles (models.recommender.BaseRecommender property)
PredictedItems (class in components.items)
PredictedScores (class in components.users)
PredictedUserProfiles (class in components.users)
probabilistic_recommendations (models.recommender.BaseRecommender attribute)
process_new_items() (models.content.ContentFiltering method)
(models.popularity.PopularityRecommender method)
(models.recommender.BaseRecommender method)
(models.social.SocialFiltering method)
process_new_users() (models.content.ContentFiltering method)
(models.popularity.PopularityRecommender method)
(models.recommender.BaseRecommender method)
(models.social.SocialFiltering method)
R
random_state (models.recommender.BaseRecommender attribute)
recommend() (models.recommender.BaseRecommender method)
record_state() (base.base_components.SystemStateModule method)
recovered_users() (models.bass.InfectionState method)
RecSimilarity (class in metrics.measurement)
register_observables() (in module base.base_components)
remove_friends() (components.socialgraph.BinarySocialGraph method)
repeat_interactions (components.users.Users attribute)
run() (models.bass.BassModel method)
(models.recommender.BaseRecommender method)
S
sample_from_error_dist() (components.users.DNUsers method)
score_fn (components.users.Users attribute)
(models.recommender.BaseRecommender attribute)
score_new_items() (components.users.Users method)
set_item_scores_to_value() (components.users.ActualUserScores method)
set_num_items_per_iter() (models.recommender.BaseRecommender method)
set_score_function() (components.users.Users method)
shape (base.base_components.Component property)
SocialFiltering (class in models.social)
SocialGraphGenerator (class in trecs.random.generators)
startup_and_train() (models.recommender.BaseRecommender method)
store_state() (base.base_components.Component method)
(components.creators.Creators method)
(components.users.Users method)
StructuralVirality (class in metrics.measurement)
SystemStateModule (class in base.base_components)
T
train() (models.content.ContentFiltering method)
(models.recommender.BaseRecommender method)
U
unfollow() (components.socialgraph.BinarySocialGraph method)
unregister_observables() (in module base.base_components)
update_profiles() (components.creators.Creators method)
(components.users.Users method)
user_vector (components.users.Users attribute)
Users (class in components.users)
users (models.recommender.BaseRecommender attribute)
users_hat (models.recommender.BaseRecommender attribute)
V
value (base.base_components.Component property)