xai4tsc.evaluation.timefrequency_perturbation
Time-frequency perturbation metrics (STFT pixel-flipping).
Like FrequencyEvaluator but in the
time-frequency (STFT) domain. The plain variant (TimeFrequencyEvaluator) zeroes
the most-important coefficients; the Gaussian variant
(TimeFrequencyEvaluatorGaussian) smears each removed coefficient with a
Gaussian kernel before blending toward the baseline (a softer, spectrogram-aware
perturbation). Both are
PerturbationEvaluator subclasses.
Classes
Time-frequency perturbation curve (STFT pixel-flipping). |
|
Time-frequency perturbation with a Gaussian-smeared baseline replacement. |
Module Contents
- class xai4tsc.evaluation.timefrequency_perturbation.TimeFrequencyEvaluator(transform: xai4tsc.utils.fourier_transforms.DomainTransform | None = None, features_in_step: int | None = None, perturb_baseline: float = 0.0, return_aoc_per_sample: bool = False)
Bases:
xai4tsc.evaluation.frequency_evaluate.PerturbationEvaluatorTime-frequency perturbation curve (STFT pixel-flipping).
Like
FrequencyEvaluatorbut in the time-frequency (STFT) domain: the most-important STFT coefficients are zeroed. SeePerturbationEvaluatorfor the constructor parameters.- required_domains: ClassVar[set[xai4tsc.xai._types.Domain]]
Explanation domains this evaluator requires; empty means any domain.
- class xai4tsc.evaluation.timefrequency_perturbation.TimeFrequencyEvaluatorGaussian(transform: xai4tsc.utils.fourier_transforms.DomainTransform | None = None, features_in_step: int | None = None, perturb_baseline: float = 0.0, return_aoc_per_sample: bool = False, sigma: collections.abc.Sequence[float] = (5.0, 1.0))
Bases:
TimeFrequencyEvaluatorTime-frequency perturbation with a Gaussian-smeared baseline replacement.
- Parameters:
sigma (sequence of float) – Standard deviations
(freq, time)of the Gaussian kernel applied around each removed coefficient.transform – See
PerturbationEvaluator.features_in_step – See
PerturbationEvaluator.perturb_baseline – See
PerturbationEvaluator.return_aoc_per_sample – See
PerturbationEvaluator.
- sigma = (5.0, 1.0)