brainscore_core.submission.database

Functions

_retrieve_score_center(score)	Deal with multiple formats of storing the score, i.e. a single scalar in the score object versus an aggregation dimension.
_retrieve_score_error(score)	Deal with multiple formats of storing the score, i.e. an error attribute in the score object versus an aggregation dimension.
benchmarkinstance_from_benchmark(benchmark, ...)
connect_db(db_secret)
create_benchmark_meta_entry(benchmark, ...)	Given a loaded benchmark object, domain, and a metadata dict, create metadata entries for the benchmark and update the BenchmarkInstance table to reference these entries.
create_model_meta_entry(model_identifier, ...)	Given a model identifier and a metadata dict, get or create a ModelMeta record.
email_from_uid(user_id)	Retrieve the email belonging to a user id.
get_benchmark_metadata_by_identifier(...)	Retrieve benchmark metadata by benchmark identifier string.
get_benchmark_with_metadata(benchmark_identifier)	Retrieve BenchmarkInstance and its associated metadata by identifier.
get_model_metadata_by_identifier(...)	Retrieve ModelMeta record by model identifier string.
get_model_with_metadata(model_identifier)	Retrieve Model and its associated ModelMeta record by identifier.
modelentry_from_model(model_identifier, ...)
public_benchmark_identifiers(domain)
public_model_identifiers(domain)
reference_from_bibtex(bibtex_string)
safe_create_model_meta_entry(...[, ...])	Retry create_model_meta_entry until the model exists, or a timeout is reached.
submissionentry_from_meta(jenkins_id, ...)
uid_from_email(author_email)	Retrieve the user id belonging to an email.
update_score(score, entry)