Source code for epysurv.models.timeseries.convert_interface

"""Put a timeseries interface in front of all timepoint algorithms."""
from ..timepoint import (
    CDC,
    HMM,
    RKI,
    Bayes,
    Boda,
    Cusum,
    EarsC1,
    EarsC2,
    Farrington,
    FarringtonFlexible,
    GLRNegativeBinomial,
    GLRPoisson,
    OutbreakP,
)
from ._base import NonLearningTimeseriesClassificationMixin


[docs]class Bayes(NonLearningTimeseriesClassificationMixin, Bayes): pass
[docs]class Boda(NonLearningTimeseriesClassificationMixin, Boda): pass
[docs]class CDC(NonLearningTimeseriesClassificationMixin, CDC): pass
[docs]class Cusum(NonLearningTimeseriesClassificationMixin, Cusum): pass
[docs]class EarsC1(NonLearningTimeseriesClassificationMixin, EarsC1): pass
[docs]class EarsC2(NonLearningTimeseriesClassificationMixin, EarsC2): pass
[docs]class Farrington(NonLearningTimeseriesClassificationMixin, Farrington): pass
[docs]class FarringtonFlexible(NonLearningTimeseriesClassificationMixin, FarringtonFlexible): pass
[docs]class GLRNegativeBinomial( NonLearningTimeseriesClassificationMixin, GLRNegativeBinomial ): pass
[docs]class GLRPoisson(NonLearningTimeseriesClassificationMixin, GLRPoisson): pass
[docs]class HMM(NonLearningTimeseriesClassificationMixin, HMM): pass
[docs]class OutbreakP(NonLearningTimeseriesClassificationMixin, OutbreakP): pass
[docs]class RKI(NonLearningTimeseriesClassificationMixin, RKI): pass