redback.analysis.combine_classifications

redback.analysis.combine_classifications(spectral_result: ClassificationResult, photometric_result: ClassificationResult, spectral_weight: float = 0.7) → ClassificationResult

Combine spectral and photometric classification results into a single estimate.

Type probabilities are computed as a weighted average: p_combined = spectral_weight * p_spectral + (1 - spectral_weight) * p_photometric

Parameters:

• spectral_result – ClassificationResult from SpectralTemplateMatcher.classify_spectrum()

• photometric_result – ClassificationResult from PhotometricClassifier.classify_from_lightcurve()

• spectral_weight – Weight given to spectral classification (0–1). Default 0.7 reflects that spectral features are more discriminating.

Returns:

Combined ClassificationResult with method=’combined’