alpenglow.cpp package¶

The classes in this module are usually not used directly, but instead through the alpenglow.Getter class. For more info, read TODO: named parameters, memory management and self_test().

loggers¶

class alpenglow.cpp.InputLoggerParameters¶

Bases: sip.wrapper

output_file¶

class alpenglow.cpp.InputLogger¶

Bases: alpenglow.cpp.Logger, alpenglow.cpp.Initializable

autocalled_initialize()¶

run()¶

self_test()¶

class alpenglow.cpp.Logger¶

Bases: sip.wrapper

run()¶

self_test()¶

class alpenglow.cpp.RankingLog¶

Bases: sip.wrapper

id¶

item¶

prediction¶

rank¶

score¶

time¶

user¶

class alpenglow.cpp.RankingLogs¶

Bases: sip.wrapper

logs¶

top_k¶

class alpenglow.cpp.MemoryRankingLoggerParameters¶

Bases: sip.wrapper

memory_log¶

min_time¶

out_file¶

class alpenglow.cpp.MemoryRankingLogger¶

Bases: alpenglow.cpp.Logger

run()¶

set_model()¶

set_rank_computer()¶

set_ranking_logs()¶

class alpenglow.cpp.OnlinePredictorParameters¶

Bases: sip.wrapper

file_name¶

min_time¶

time_frame¶

class alpenglow.cpp.OnlinePredictor¶

Bases: alpenglow.cpp.Logger

run()¶

self_test()¶

set_prediction_creator()¶

class alpenglow.cpp.OnlinePredictions¶

Bases: sip.wrapper

ids¶

items¶

ranks¶

scores¶

times¶

users¶

class alpenglow.cpp.PredictionLogger¶

Bases: alpenglow.cpp.Logger

get_predictions()¶

run()¶

self_test()¶

set_prediction_creator()¶

class alpenglow.cpp.InterruptLogger¶

Bases: alpenglow.cpp.Logger

run()¶

class alpenglow.cpp.ListConditionalMetaLoggerParameters¶

Bases: sip.wrapper

should_run_vector¶

class alpenglow.cpp.ListConditionalMetaLogger¶

Bases: alpenglow.cpp.ConditionalMetaLogger

should_run()¶

class alpenglow.cpp.ConditionalMetaLogger¶

Bases: alpenglow.cpp.Logger

run()¶

self_test()¶

set_logger()¶

should_run()¶

class alpenglow.cpp.ProceedingLogger¶

Bases: alpenglow.cpp.Logger, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

autocalled_initialize()¶

run()¶

self_test()¶

set_data_iterator()¶

set_experiment_environment()¶

online_experiment¶

class alpenglow.cpp.OnlineExperimentParameters¶

Bases: sip.wrapper

exclude_known¶

initialize_all¶

max_item¶

max_time¶

max_user¶

min_time¶

random_seed¶

top_k¶

class alpenglow.cpp.OnlineExperiment¶

Bases: sip.wrapper

add_logger()¶

add_updater()¶

inject_experiment_environment_into()¶

run()¶

self_test()¶

set_recommender_data_iterator()¶

class alpenglow.cpp.ExperimentEnvironment¶

Bases: sip.wrapper

do_exclude_known()¶

get_max_time()¶

get_min_time()¶

get_popularity_container()¶

get_popularity_sorted_container()¶

get_random()¶

get_recommender_data_iterator()¶

get_top_k()¶

get_train_matrix()¶

is_item_new_for_user()¶

set_parameters()¶

update()¶

data_generators¶

class alpenglow.cpp.CompletePastDataGenerator¶

Bases: alpenglow.cpp.DataGenerator, alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

generate_recommender_data()¶

self_test()¶

set_experiment_environment()¶

set_recommender_data_iterator()¶

class alpenglow.cpp.SamplingDataGeneratorParameters¶

Bases: sip.wrapper

distribution¶

geometric_param¶

number_of_samples¶

y¶

class alpenglow.cpp.SamplingDataGenerator¶

Bases: alpenglow.cpp.DataGenerator, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

autocalled_initialize()¶

generate_recommender_data()¶

self_test()¶

set_experiment_environment()¶

set_recommender_data_iterator()¶

class alpenglow.cpp.TimeframeDataGeneratorParameters¶

Bases: sip.wrapper

timeframe_length¶

class alpenglow.cpp.TimeframeDataGenerator¶

Bases: alpenglow.cpp.DataGenerator, alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

generate_recommender_data()¶

self_test()¶

set_experiment_environment()¶

set_recommender_data_iterator()¶

class alpenglow.cpp.DataGenerator¶

Bases: sip.wrapper

generate_recommender_data()¶

online_learners¶

class alpenglow.cpp.PeriodicOfflineLearnerWrapperParameters¶

Bases: sip.wrapper

base_in_file_name¶

base_out_file_name¶

clear_model¶

learn¶

read_model¶

write_model¶

class alpenglow.cpp.PeriodicOfflineLearnerWrapper¶

Bases: alpenglow.cpp.Updater

add_offline_learner()¶

self_test()¶

set_data_generator()¶

set_model()¶

set_period_computer()¶

update()¶

class alpenglow.cpp.LearnerPeriodicDelayedWrapperParameters¶

Bases: sip.wrapper

delay¶

period¶

class alpenglow.cpp.LearnerPeriodicDelayedWrapper¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_wrapped_learner()¶

update()¶

general_interfaces¶

class alpenglow.cpp.Initializable¶

Bases: sip.wrapper

This interface signals that the implementing class has to be initialized by the experiment runner. The experiment runner calls the initialize() method, which in return calls the class-specific implementation of autocalled_initialize() and sets the is_initialized() flag if the initialization was successful. The autocalled_initialize() method can check whether the neccessary dependencies have been initialized or not before initializing the instance; and should return the success value accordingly.

If the initialization was not successful, the experiment runner keeps trying to initialize the not-yet initialized objects, thus resolving dependency chains.

Initializing and inheritance. Assume that class Parent implements Initializable, and the descendant Child needs further initialization. In that case Child has to override autocalled_initialize(), and call Parent::autocalled_initialize() in the overriding function first, continuing only if the parent returned true. If the init of the parent was succesful, but the children failed, then the children has to store the success of the parent and omit calling the initialization of the parent later.

autocalled_initialize()¶

Has to be implemented by the component.

Returns:	Whether the initialization was successful.
Return type:	bool

initialize()¶

Returns:	Whether the initialization was successful.
Return type:	bool

is_initialized()¶

Returns:	Whether the component has already been initialized.
Return type:	bool

class alpenglow.cpp.NeedsExperimentEnvironment¶

Bases: sip.wrapper

set_experiment_environment()¶

class alpenglow.cpp.Updater¶

Bases: sip.wrapper

self_test()¶

update()¶

objectives¶

class alpenglow.cpp.ObjectivePointWise¶

Bases: sip.wrapper

get_gradient()¶

class alpenglow.cpp.ObjectivePairWise¶: Bases: sip.wrapper

class alpenglow.cpp.ObjectiveListWise¶

Bases: sip.wrapper

get_gradient()¶

class alpenglow.cpp.ObjectiveMSE¶

Bases: alpenglow.cpp.ObjectivePointWise

get_gradient()¶

negative_sample_generators¶

class alpenglow.cpp.UniformNegativeSampleGeneratorParameters¶

Bases: sip.wrapper

filter_repeats¶

initialize_all¶

max_item¶

negative_rate¶

seed¶

class alpenglow.cpp.UniformNegativeSampleGenerator¶

Bases: alpenglow.cpp.NegativeSampleGenerator, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

autocalled_initialize()¶

self_test()¶

set_experiment_environment()¶

set_items()¶

set_train_matrix()¶

class alpenglow.cpp.NegativeSampleGenerator¶

Bases: alpenglow.cpp.Updater

add_updater()¶

self_test()¶

update()¶

offline_evaluators¶

class alpenglow.cpp.OfflineEvaluator¶

Bases: sip.wrapper

evaluate()¶

self_test()¶

class alpenglow.cpp.PrecisionRecallEvaluatorParameters¶

Bases: sip.wrapper

cutoff¶

test_file_name¶

test_file_type¶

time¶

class alpenglow.cpp.PrecisionRecallEvaluator¶

Bases: alpenglow.cpp.OfflineEvaluator

evaluate()¶

self_test()¶

set_model()¶

set_model_filter()¶

set_train_data()¶

class alpenglow.cpp.OfflineRankingComputerParameters¶

Bases: sip.wrapper

top_k¶

class alpenglow.cpp.OfflinePredictions¶

Bases: sip.wrapper

items¶

ranks¶

users¶

class alpenglow.cpp.OfflineRankingComputer¶

Bases: sip.wrapper

compute()¶

set_items()¶

set_toplist_creator()¶

set_users()¶

utils¶

class alpenglow.cpp.Random¶

Bases: sip.wrapper

get()¶

get_arctg()¶

get_boolean()¶

get_discrete()¶

get_geometric()¶

get_linear()¶

set()¶

class alpenglow.cpp.PopContainer¶

Bases: sip.wrapper

clear()¶

get()¶

increase()¶

reduce()¶

resize()¶

class alpenglow.cpp.TopPopContainer¶

Bases: sip.wrapper

get_index()¶

get_item()¶

has_changed()¶

increase()¶

reduce()¶

set_threshold()¶

size()¶

class alpenglow.cpp.SpMatrix¶

Bases: sip.wrapper

clear()¶

erase()¶

get()¶

has_value()¶

increase()¶

insert()¶

read_from_file()¶

resize()¶

row_size()¶

size()¶

update()¶

write_into_file()¶

class alpenglow.cpp.Bias¶

Bases: sip.wrapper

clear()¶

get()¶

init()¶

update()¶

class alpenglow.cpp.SparseAttributeContainerParameters¶: Bases: sip.wrapper

class alpenglow.cpp.SparseAttributeContainer¶

Bases: sip.wrapper

get_max_attribute_index()¶

class alpenglow.cpp.FileSparseAttributeContainer¶

Bases: alpenglow.cpp.SparseAttributeContainer

load_from_file()¶

class alpenglow.cpp.PredictionCreatorParameters¶

Bases: sip.wrapper

exclude_known¶

top_k¶

class alpenglow.cpp.PredictionCreator¶

Bases: alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

run()¶

self_test()¶

set_experiment_environment()¶

set_filter()¶

set_model()¶

set_train_matrix()¶

class alpenglow.cpp.PredictionCreatorGlobalParameters¶

Bases: alpenglow.cpp.PredictionCreatorParameters

initial_threshold¶

class alpenglow.cpp.PredictionCreatorGlobal¶

Bases: alpenglow.cpp.PredictionCreator

autocalled_initialize()¶

run()¶

self_test()¶

class alpenglow.cpp.PredictionCreatorPersonalizedParameters¶: Bases: alpenglow.cpp.PredictionCreatorParameters

class alpenglow.cpp.PredictionCreatorPersonalized¶

Bases: alpenglow.cpp.PredictionCreator

autocalled_initialize()¶

run()¶

self_test()¶

class alpenglow.cpp.PeriodComputerParameters¶

Bases: sip.wrapper

period_length¶

period_mode¶

start_time¶

class alpenglow.cpp.PeriodComputer¶

Bases: alpenglow.cpp.Updater, alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

end_of_period()¶

get_period_num()¶

self_test()¶

set_experiment_environment()¶

set_parameters()¶

set_recommender_data_iterator()¶

update()¶

class alpenglow.cpp.Recency¶

Bases: sip.wrapper

get()¶

update()¶

class alpenglow.cpp.PowerLawRecencyParameters¶

Bases: sip.wrapper

delta_t¶

exponent¶

class alpenglow.cpp.PowerLawRecency¶

Bases: alpenglow.cpp.Recency

get()¶

update()¶

gradient_computers¶

class alpenglow.cpp.GradientComputer¶

Bases: alpenglow.cpp.Updater

add_gradient_updater()¶

self_test()¶

set_model()¶

class alpenglow.cpp.GradientComputerPointWise¶

Bases: alpenglow.cpp.GradientComputer

self_test()¶

set_objective()¶

update()¶

recommender_data¶

class alpenglow.cpp.InlineAttributeReader¶

Bases: sip.wrapper

read_attribute()¶

self_test()¶

class alpenglow.cpp.DataframeData¶

Bases: alpenglow.cpp.RecommenderData

add_recdats()¶

autocalled_initialize()¶

get()¶

size()¶

class alpenglow.cpp.ShuffleIteratorParameters¶

Bases: sip.wrapper

seed¶

class alpenglow.cpp.ShuffleIterator¶

Bases: alpenglow.cpp.RecommenderDataIterator

autocalled_initialize()¶

get()¶

get_actual()¶

get_following_timestamp()¶

get_future()¶

next()¶

class alpenglow.cpp.RandomIteratorParameters¶

Bases: sip.wrapper

seed¶

shuffle_mode¶

class alpenglow.cpp.RandomIterator¶

Bases: alpenglow.cpp.RecommenderDataIterator

autocalled_initialize()¶

get()¶

get_actual()¶

get_following_timestamp()¶

get_future()¶

next()¶

restart()¶

shuffle()¶

class alpenglow.cpp.RecDat¶

Bases: sip.wrapper

category¶

eval¶

id¶

item¶

score¶

time¶

user¶

class alpenglow.cpp.RecPred¶

Bases: sip.wrapper

prediction¶

score¶

class alpenglow.cpp.RecommenderData¶

Bases: alpenglow.cpp.Initializable

autocalled_initialize()¶

clear()¶

get()¶

get_all_items()¶

get_all_users()¶

get_full_matrix()¶

get_items_into()¶

get_rec_data()¶

get_users_into()¶

set_rec_data()¶

size()¶

class alpenglow.cpp.LegacyRecommenderDataParameters¶

Bases: sip.wrapper

file_name¶

max_time¶

type¶

class alpenglow.cpp.LegacyRecommenderData¶

Bases: alpenglow.cpp.RecommenderData

autocalled_initialize()¶

read_from_file()¶

set_attribute_container()¶

class alpenglow.cpp.FactorRepr¶

Bases: sip.wrapper

entity¶

factors¶

class alpenglow.cpp.UserItemFactors¶

Bases: sip.wrapper

item_factors¶

user_factors¶

class alpenglow.cpp.FactorModelReader¶

Bases: sip.wrapper

read()¶

class alpenglow.cpp.EigenFactorModelReader¶

Bases: sip.wrapper

read()¶

class alpenglow.cpp.SimpleIterator¶

Bases: alpenglow.cpp.RecommenderDataIterator

autocalled_initialize()¶

get()¶

get_actual()¶

get_following_timestamp()¶

get_future()¶

next()¶

class alpenglow.cpp.RecommenderDataIterator¶

Bases: alpenglow.cpp.Initializable

autocalled_initialize()¶

get()¶

get_actual()¶

get_counter()¶

get_following_timestamp()¶

get_future()¶

has_next()¶

next()¶

set_recommender_data()¶

size()¶

models¶

models.baseline¶

class alpenglow.cpp.PersonalPopularityModel¶

Bases: alpenglow.cpp.Model

prediction()¶

class alpenglow.cpp.TransitionProbabilityModelUpdaterParameters¶

Bases: sip.wrapper

filter_freq_updates¶

label_file_name¶

label_transition_mode¶

mode¶

class alpenglow.cpp.TransitionProbabilityModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.PopularityModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.PopularityModel¶

Bases: alpenglow.cpp.Model

prediction()¶

class alpenglow.cpp.PopularityTimeFrameModelUpdaterParameters¶

Bases: sip.wrapper

tau¶

class alpenglow.cpp.PopularityTimeFrameModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.NearestNeighborModelParameters¶

Bases: sip.wrapper

direction¶

gamma¶

gamma_threshold¶

norm¶

num_of_neighbors¶

class alpenglow.cpp.NearestNeighborModel¶

Bases: alpenglow.cpp.Model

prediction()¶

self_test()¶

class alpenglow.cpp.NearestNeighborModelUpdaterParameters¶

Bases: sip.wrapper

compute_similarity_period¶

period_mode¶

class alpenglow.cpp.NearestNeighborModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.PersonalPopularityModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.TransitionProbabilityModel¶

Bases: alpenglow.cpp.Model

clear()¶

prediction()¶

self_test()¶

models.factor¶

class alpenglow.cpp.FmModelParameters¶

Bases: sip.wrapper

begin_max¶

begin_min¶

dimension¶

item_attributes¶

seed¶

user_attributes¶

class alpenglow.cpp.FmModel¶

Bases: alpenglow.cpp.Model, alpenglow.cpp.Initializable

autocalled_initialize()¶

clear()¶

prediction()¶

self_test()¶

class alpenglow.cpp.SvdppModelParameters¶

Bases: sip.wrapper

begin_max¶

begin_min¶

dimension¶

gamma¶

history_weight¶

norm_type¶

seed¶

use_sigmoid¶

user_vector_weight¶

class alpenglow.cpp.SvdppModel¶

Bases: alpenglow.cpp.Model

add()¶

clear()¶

prediction()¶

self_test()¶

class alpenglow.cpp.SvdppModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.AsymmetricFactorModelGradientUpdaterParameters¶

Bases: sip.wrapper

cumulative_item_updates¶

learning_rate¶

class alpenglow.cpp.AsymmetricFactorModelGradientUpdater¶

Bases: alpenglow.cpp.ModelGradientUpdater

beginning_of_updating_cycle()¶

end_of_updating_cycle()¶

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.AsymmetricFactorModelParameters¶

Bases: sip.wrapper

begin_max¶

begin_min¶

dimension¶

gamma¶

initialize_all¶

max_item¶

norm_type¶

seed¶

use_sigmoid¶

class alpenglow.cpp.AsymmetricFactorModel¶

Bases: alpenglow.cpp.Model

add()¶

clear()¶

prediction()¶

self_test()¶

class alpenglow.cpp.FactorModelParameters¶

Bases: sip.wrapper

begin_max¶

begin_min¶

dimension¶

initialize_all¶

max_item¶

max_user¶

use_item_bias¶

use_sigmoid¶

use_user_bias¶

class alpenglow.cpp.FactorModel¶

Bases: alpenglow.cpp.Model, alpenglow.cpp.SimilarityModel, alpenglow.cpp.Initializable

add()¶

autocalled_initialize()¶

clear()¶

prediction()¶

self_test()¶

set_item_recency()¶

set_user_recency()¶

similarity()¶

class alpenglow.cpp.FactorModelGradientUpdaterParameters¶

Bases: sip.wrapper

learning_rate¶

learning_rate_bias¶

regularization_rate¶

regularization_rate_bias¶

turn_off_item_bias_updates¶

turn_off_item_factor_updates¶

turn_off_user_bias_updates¶

turn_off_user_factor_updates¶

class alpenglow.cpp.FactorModelGradientUpdater¶

Bases: alpenglow.cpp.ModelGradientUpdater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.SvdppModelGradientUpdaterParameters¶

Bases: sip.wrapper

cumulative_item_updates¶

learning_rate¶

class alpenglow.cpp.SvdppModelGradientUpdater¶

Bases: alpenglow.cpp.ModelGradientUpdater

beginning_of_updating_cycle()¶

end_of_updating_cycle()¶

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.AsymmetricFactorModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.FmModelUpdaterParameters¶

Bases: sip.wrapper

learning_rate¶

class alpenglow.cpp.FmModelUpdater¶

Bases: alpenglow.cpp.Updater

self_test()¶

set_model()¶

update()¶

class alpenglow.cpp.EigenFactorModelParameters¶

Bases: sip.wrapper

begin_max¶

begin_min¶

dimension¶

lemp_bucket_size¶

seed¶

class alpenglow.cpp.EigenFactorModel¶

Bases: alpenglow.cpp.Model, alpenglow.cpp.Initializable

add()¶

autocalled_initialize()¶

clear()¶

prediction()¶

resize()¶

self_test()¶

models.combination¶

class alpenglow.cpp.WeightedModelStructure¶

Bases: sip.wrapper

distribution_¶

is_initialized()¶

models_¶

class alpenglow.cpp.WMSUpdater¶

Bases: sip.wrapper

set_wms()¶

class alpenglow.cpp.ToplistCombinationModel¶

Bases: alpenglow.cpp.Model, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

add()¶

add_model()¶

autocalled_initialize()¶

inject_wms_into()¶

prediction()¶

self_test()¶

set_experiment_environment()¶

class alpenglow.cpp.RandomChoosingCombinedModelExpertUpdaterParameters¶

Bases: sip.wrapper

eta¶

loss_type¶

top_k¶

class alpenglow.cpp.RandomChoosingCombinedModelExpertUpdater¶

Bases: alpenglow.cpp.Updater, alpenglow.cpp.WMSUpdater, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

autocalled_initialize()¶

self_test()¶

set_experiment_environment()¶

set_wms()¶

update()¶

class alpenglow.cpp.Evaluator¶

Bases: sip.wrapper

get_loss()¶

get_score()¶

self_test()¶

class alpenglow.cpp.CombinedModelParameters¶

Bases: sip.wrapper

log_file_name¶

log_frequency¶

use_user_weights¶

class alpenglow.cpp.CombinedModel¶

Bases: alpenglow.cpp.Model

add()¶

add_model()¶

prediction()¶

class alpenglow.cpp.RandomChoosingCombinedModel¶

Bases: alpenglow.cpp.Model, alpenglow.cpp.Initializable, alpenglow.cpp.NeedsExperimentEnvironment

add()¶

add_model()¶

autocalled_initialize()¶

inject_wms_into()¶

prediction()¶

self_test()¶

set_experiment_environment()¶

class alpenglow.cpp.ExternalModelParameters¶

Bases: sip.wrapper

mode¶

class alpenglow.cpp.ExternalModel¶

Bases: alpenglow.cpp.Model

add()¶

clear()¶

prediction()¶

read_predictions()¶

self_test()¶

class alpenglow.cpp.SimilarityModel¶

Bases: sip.wrapper

self_test()¶

similarity()¶

class alpenglow.cpp.ModelGradientUpdater¶

Bases: sip.wrapper

beginning_of_updating_cycle()¶

end_of_updating_cycle()¶

self_test()¶

update()¶

class alpenglow.cpp.ModelMultiUpdater¶

Bases: sip.wrapper

self_test()¶

update()¶

class alpenglow.cpp.Model¶

Bases: sip.wrapper

add()¶

clear()¶

prediction()¶

read()¶

self_test()¶

write()¶

class alpenglow.cpp.MassPredictor¶

Bases: sip.wrapper

predict()¶

set_model()¶

implicit_data_creator¶

Filters¶

This is the filters header file.

class alpenglow.cpp.AvailabilityFilter¶

Bases: alpenglow.cpp.ModelFilter

This is the docstring for AvailabilityFilter. This filter filters the set of available items based on (time,itemId,duration) triplets. These have to be preloaded before

Sample code

def some_function():
  interesting = False
  print 'This line is highlighted.'
  print 'This one is not...'
  print '...but this one is.'

# this is python code
f = rs.AvailabilityFilter()
f.add_availability(10,1,10) #item 1 is available in the time interval (10,20)

active()¶

add_availability()¶

run(rec_dat)¶

Summary line.

Extended description of function.

Parameters:	arg1 (int) – Description of arg1 arg2 (str) – Description of arg2
Returns:	Description of return value
Return type:	bool

self_test()¶

class alpenglow.cpp.DummyModelFilter¶

Bases: alpenglow.cpp.ModelFilter, alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

run()¶

self_test()¶

set_experiment_environment()¶

set_items()¶

set_users()¶

class alpenglow.cpp.FactorModelFilter¶

Bases: alpenglow.cpp.ModelFilter, alpenglow.cpp.NeedsExperimentEnvironment

autocalled_initialize()¶

get_global_items()¶

get_global_users()¶

run()¶

self_test()¶

set_experiment_environment()¶

set_items()¶

set_model()¶

set_users()¶

class alpenglow.cpp.ModelFilter¶

Bases: sip.wrapper

active()¶

run()¶

self_test()¶

ranking¶

class alpenglow.cpp.RankComputerParameters¶

Bases: sip.wrapper

random_seed¶

top_k¶

class alpenglow.cpp.RankComputer¶

Bases: alpenglow.cpp.NeedsExperimentEnvironment, alpenglow.cpp.Initializable

autocalled_initialize()¶

get_rank()¶

self_test()¶

set_experiment_environment()¶

set_model()¶

set_model_filter()¶

set_top_pop_container()¶

set_train_matrix()¶

offline_learners¶

class alpenglow.cpp.OfflineEigenFactorModelALSLearnerParameters¶

Bases: sip.wrapper

alpha¶

clear_before_fit¶

implicit¶

number_of_iterations¶

regularization_lambda¶

class alpenglow.cpp.OfflineEigenFactorModelALSLearner¶

Bases: alpenglow.cpp.OfflineLearner

fit()¶

iterate()¶

self_test()¶

set_copy_from_model()¶

set_copy_to_model()¶

set_model()¶

class alpenglow.cpp.OfflineLearner¶

Bases: sip.wrapper

fit()¶

self_test()¶

class alpenglow.cpp.OfflineExternalModelLearnerParameters¶

Bases: sip.wrapper

in_name_base¶

mode¶

out_name_base¶

class alpenglow.cpp.OfflineExternalModelLearner¶

Bases: alpenglow.cpp.OfflineLearner

fit()¶

set_model()¶

class alpenglow.cpp.OfflineIteratingOnlineLearnerWrapperParameters¶

Bases: sip.wrapper

number_of_iterations¶

seed¶

shuffle¶

class alpenglow.cpp.OfflineIteratingOnlineLearnerWrapper¶

Bases: alpenglow.cpp.OfflineLearner

add_early_updater()¶

add_iterate_updater()¶

add_updater()¶

fit()¶

self_test()¶