An error occurred while loading the file. Please try again.
-
Guillaume Perréal authoredcbca3756
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
from typing import Dict, List
from extreme_fit.function.margin_function.spline_margin_function import SplineMarginFunction
from extreme_fit.function.param_function.abstract_coef import AbstractCoef
from extreme_fit.function.param_function.spline_coef import SplineCoef, KnotCoef, \
PolynomialCoef
from extreme_fit.model.margin_model.parametric_margin_model import ParametricMarginModel
from extreme_fit.distribution.gev.gev_params import GevParams
from spatio_temporal_dataset.coordinates.abstract_coordinates import AbstractCoordinates
class SplineMarginModel(ParametricMarginModel):
def __init__(self, coordinates: AbstractCoordinates,
params_sample=None):
super().__init__(coordinates, params_sample)
def load_margin_functions(self, param_name_to_dims: Dict[str, List[int]] = None,
param_name_to_coef: Dict[str, AbstractCoef] = None,
param_name_to_nb_knots: Dict[str, int] = None,
degree=3):
# Default parameters
# todo: for the default parameters: take inspiration from the linear_margin_model
# also implement the class method thing
if param_name_to_dims is None:
param_name_to_dims = {param_name: self.coordinates.coordinates_dims
for param_name in GevParams.PARAM_NAMES}
if param_name_to_coef is None:
param_name_to_coef = {}
for param_name in GevParams.PARAM_NAMES:
knot_coef = KnotCoef(param_name)
polynomial_coef = PolynomialCoef(param_name)
dim_to_polynomial_coef = {dim: polynomial_coef for dim in self.coordinates.coordinates_dims}
spline_coef = SplineCoef(param_name, knot_coef, dim_to_polynomial_coef)
param_name_to_coef[param_name] = spline_coef
if param_name_to_nb_knots is None:
param_name_to_nb_knots = {param_name: 2 for param_name in GevParams.PARAM_NAMES}
# Load sample coef
self.margin_function_sample = SplineMarginFunction(coordinates=self.coordinates,
param_name_to_dims=param_name_to_dims,
param_name_to_coef=param_name_to_coef,
param_name_to_nb_knots=param_name_to_nb_knots,
degree=degree)
# Load start fit coef
self.margin_function_start_fit = SplineMarginFunction(coordinates=self.coordinates,
param_name_to_dims=param_name_to_dims,
param_name_to_coef=param_name_to_coef,
param_name_to_nb_knots=param_name_to_nb_knots,
degree=degree)
class ConstantSplineMarginModel(SplineMarginModel):
def load_margin_functions(self, param_name_to_dims: Dict[str, List[int]] = None,
param_name_to_coef: Dict[str, AbstractCoef] = None,
param_name_to_nb_knots: Dict[str, int] = None, degree=3):
super().load_margin_functions({}, param_name_to_coef, param_name_to_nb_knots,
degree)
class Degree1SplineMarginModel(SplineMarginModel):
def load_margin_functions(self, param_name_to_dims: Dict[str, List[int]] = None,
param_name_to_coef: Dict[str, AbstractCoef] = None,
param_name_to_nb_knots: Dict[str, int] = None, degree=3):
super().load_margin_functions(param_name_to_dims, param_name_to_coef, param_name_to_nb_knots,
degree=1)