gluonts.ev.evaluator module

class gluonts.ev.evaluator.DerivedEvaluator(name: str, evaluators: Dict[str, gluonts.ev.evaluator.Evaluator], post_process: Callable)

Bases: gluonts.ev.evaluator.Evaluator

An Evaluator for metrics that are derived from other metrics.

A derived metric updates multiple, simpler metrics independently and in the end combines their results as defined in post_process.

evaluators: Dict[str, gluonts.ev.evaluator.Evaluator]

get() → numpy.ndarray

name: str

post_process: Callable

update(data: ChainMap[str, numpy.ndarray]) → None

class gluonts.ev.evaluator.DirectEvaluator(name: str, stat: Callable, aggregate: gluonts.ev.aggregations.Aggregation)

Bases: gluonts.ev.evaluator.Evaluator

An Evaluator which uses a single function and aggregation strategy.

aggregate: gluonts.ev.aggregations.Aggregation

get() → numpy.ndarray

name: str

stat: Callable

update(data: ChainMap[str, numpy.ndarray]) → None

class gluonts.ev.evaluator.Evaluator(name: str)

Bases: object

get() → numpy.ndarray

name: str

update(data: ChainMap[str, numpy.ndarray]) → None