Transformers documentation
시계열 유틸리티
시계열 유틸리티
이 페이지는 시계열 기반 모델에서 사용할 수 있는 유틸리티 함수와 클래스들을 나열합니다.
이 함수들 대부분은 시계열 모델의 코드를 연구하거나 분포 출력 클래스의 컬렉션에 추가하려는 경우에만 유용합니다.
분포 출력 (Distributional Output)
Normal distribution output class.
A mock value for a dotted path (e.g. torch.float32): attribute access chains,
calls behave as pass-through decorators, repr is the dotted path, and using it
as a base class substitutes a plain-type base (PEP 560 __mro_entries__), so
real subclasses keep a normal metaclass and inspect.signature reads their real __init__ instead of a mock’s.
Student-T distribution output class.
A mock value for a dotted path (e.g. torch.float32): attribute access chains,
calls behave as pass-through decorators, repr is the dotted path, and using it
as a base class substitutes a plain-type base (PEP 560 __mro_entries__), so
real subclasses keep a normal metaclass and inspect.signature reads their real __init__ instead of a mock’s.
Negative Binomial distribution output class.
A mock value for a dotted path (e.g. torch.float32): attribute access chains,
calls behave as pass-through decorators, repr is the dotted path, and using it
as a base class substitutes a plain-type base (PEP 560 __mro_entries__), so
real subclasses keep a normal metaclass and inspect.signature reads their real __init__ instead of a mock’s.