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Created with Raphaël 2.2.08Feb23Apr22151413129842130Mar292625232218161510432126Feb25242322191817161512985432125Jan19158723Dec226Nov2523191816121110628Oct232219171412872129Sep2825211816151410983131Aug30Jul292827242220171615230Jun2926252423181716151211815May1330Apr292722201918171587631Mar302726252423201918167643228Feb27261813121110730Jan24222120138718Dec17161110532129Nov2827262523222113731Oct3028252422211816420Sep1918111095431Jul2925171615121Jun19181712111097654329May2827232221201615141310976Update README.mdUpdate README.mdUpdate README.mdUpdate README.mdUpdate README.mdUpdate README.mdUpdate README.mdUpdate README.mdMerge remote-tracking branch 'origin/master'add requirementsUpdate README.mdUpdate README.mdUpdate README.mdUpdate README.mdMerge remote-tracking branch 'origin/master'add gitignoreUpdate README.mdadd some datainitial commit[refactor] reomve normalize. move compute_nllh[refactor] refactor code for article 1, to make it work. remove station data folder. deactivate normalize()[refactor] refactor one fold fit, enable to get sorted estimators with other selection criterion without more computation[refactor] add cached property on nllh, rename function from fit to margin function from fit. rename nb params to nb params from margin function[refactor] rename function from fit to margin function from fit. remove sorted_estimators_with_stationary[refactor] remove usage of split in my main code. remove two_fold_fit, remove split and slicers.[refactor] fix code to reproduce the result from the article 2.[projection snowfall] add aicc. add potential framework for model as truth experiments.[projection snowfall] refactoring & move folders. adapt the relative change formula for negative values.activate the goodness of fit test. handle an additional type of climate coordinates. and plot of the value & of the GEV parameters.[projection snowfall] add plot_gcm_rcm_effects.py, and improve plot_relative_change_in_return_level.py[projection snowfall] fix one special case for the formula. fix issue in model check in one fold fit. fix the parameter for one model. big bug fix in evgam.[projection snowfall] refactor the formula for the effects. add param_name_to_ordered_climate_effects for the spline_margin_function.py and for the polynomial_margin_function.py. add some assertion[projection snowfall] add test_ensemble_fit_single_altitude.py and remove one test from multiple altitudes. add climate_effects for the fit in evgam[projection snowfall] add climate_coordinates_with_effects attributes everywhere. refactor __init__ method for many temporal model.[projection snowfall] update plots for the paper 3[projection snowfall] add observation to the together fit. assign the average global temperature of all gcms for rcp 8.5 as covariate for the observations. add assertion[projection snowfall] fix error in one fold fit for the temperature covariate & for the significance.[projection snowfall] modify altitude_class to altitude_group in visualizer_for_projection_ensemble.py. fix index for ensemble dataset. add plot_relative_change_in_return_level.py[projection snowfall] add the 27 non stationary spline models of interest.[projection snowfall] add functions_utils.py. modify one_fold_fit.py so that it may support one altitude fit.[projection snowfall] add global temperature for 2020