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Guillaume Perréal authoreda3da09fb
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from typing import Dict, List
from cached_property import cached_property
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from projects.altitude_spatial_model.altitudes_fit.two_fold_datasets_generator import TwoFoldDatasetsGenerator
from projects.altitude_spatial_model.altitudes_fit.two_fold_detail_fit import TwoFoldMassifFit
from projects.altitude_spatial_model.altitudes_fit.utils import Score, Grouping
class TwoFoldFit(object):
def __init__(self, two_fold_datasets_generator: TwoFoldDatasetsGenerator,
model_family_name_to_model_classes: Dict[str, List[type]],
fit_method=MarginFitMethod.extremes_fevd_mle):
self.two_fold_datasets_generator = two_fold_datasets_generator
self.fit_method = fit_method
self.model_family_name_to_model_classes = model_family_name_to_model_classes
self.massif_name_to_massif_fit = {}
for massif_name, list_two_fold_datasets in self.two_fold_datasets_generator.massif_name_to_list_two_fold_datasets.items():
self.massif_name_to_massif_fit[massif_name] = TwoFoldMassifFit(model_classes=self.model_classes_to_fit,
list_two_fold_datasets=list_two_fold_datasets,
fit_method=self.fit_method)
@cached_property
def model_classes_to_fit(self):
return set().union(*[set(model_classes) for model_classes in self.model_family_name_to_model_classes.values()])
def model_family_name_to_best_model(self, score):
pass
def massif_name_to_best_model(self, score=Score.NLLH_TEST, group=Grouping.MEAN_RANKING):
return {
massif_name: massif_fit.best_model(score, group)
for massif_name, massif_fit in self.massif_name_to_massif_fit.items()
}