Accuracy Accuracy

class dffml.accuracy.accuracy.AccuracyConfig[source]

no_enforce_immutable()

By default, all properties of a config object are immutable. If you would like to mutate immutable properties, you must explicitly call this method using it as a context manager.

Examples

>>> from dffml import config
>>>
>>> @config
... class MyConfig:
...     C: int
>>>
>>> config = MyConfig(C=2)
>>> with config.no_enforce_immutable():
...     config.C = 1

class dffml.accuracy.accuracy.AccuracyContext(parent: Accuracy)[source]

abstract async score(mctx: dffml.model.model.ModelContext, sources: dffml.source.source.SourcesContext, *args: dffml.feature.feature.Feature) → float[source]

Abstract method to get the score

Parameters

mctx (ModelContext) – The Model which needs to be used.
sources (SourcesContext) – The sources to use to get the accuracy

Returns

The score value

Return type

float

class dffml.accuracy.accuracy.AccuracyScorer(config: Optional[Type[dffml.base.BaseConfig]])[source]

Abstract base class which should be derived from and implemented using various accuracy scorer.

CONFIG: alias of dffml.accuracy.accuracy.AccuracyConfig

CONTEXT: alias of dffml.accuracy.accuracy.AccuracyContext

exception dffml.accuracy.accuracy.InvalidNumberOfFeaturesError[source]