[EXTREME ESTIMATOR][EXTREME MODEL] add ideas for spline based margin model

extreme_estimator/extreme_models/margin_model/spline_margin_model.py

+
+"""
+Potentially, we could implement a spline model for the margin, to check results from Gaume
+
+rbpspline
+
+Fits a penalized spline with radial basis functions to data
+
+Examplesn <- 200x <- runif(n)fun <- function(x) sin(3 * pi * x)y <- fun(x) + rnorm(n, 0, sqrt(0.4))
+knots <- quantile(x, prob = 1:(n/4) / (n/4 + 1))fitted <- rbpspline(y, x, knots = knots, degree = 3)fittedplot(x, y)lines(fitted, col = 2)
+
+"""
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