Add crps learning slides (univariate, old)
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25_07_phd_defense/assets/01_common.R
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25_07_phd_defense/assets/01_common.R
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text_size <- 16
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width <- 12
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height <- 6
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# col_lightgray <- "#e7e7e7"
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# col_blue <- "#F24159"
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# col_b_smooth <- "#F7CE14"
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# col_p_smooth <- "#58A64A"
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# col_pointwise <- "#772395"
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# col_b_constant <- "#BF236D"
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# col_p_constant <- "#F6912E"
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# col_optimum <- "#666666"
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# https://www.schemecolor.com/retro-rainbow-pastels.php
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col_lightgray <- "#e7e7e7"
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col_blue <- "#F24159"
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col_b_smooth <- "#5391AE"
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col_p_smooth <- "#85B464"
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col_pointwise <- "#E2D269"
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col_b_constant <- "#7A4E8A"
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col_p_constant <- "#BC677B"
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col_optimum <- "#666666"
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col_auto <- "#EA915E"
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T_selection <- c(32, 128, 512)
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# Lambda grid
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lamgrid <- c(-Inf, 2^(-15:25))
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# Gamma grid
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gammagrid <- sort(1 - sqrt(seq(0, 0.99, .05)))
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25_07_phd_defense/assets/crps_learning/algos_changing.gif
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25_07_phd_defense/assets/crps_learning/algos_changing.gif
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25_07_phd_defense/assets/crps_learning/algos_constant.gif
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25_07_phd_defense/assets/crps_learning/algos_constant.gif
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25_07_phd_defense/assets/crps_learning/pre_vs_post.gif
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25_07_phd_defense/assets/crps_learning/pre_vs_post.gif
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25_07_phd_defense/assets/crps_learning/pre_vs_post_lambda.gif
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25_07_phd_defense/assets/crps_learning/pre_vs_post_lambda.gif
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25_07_phd_defense/assets/crps_learning/uneven_grid.gif
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25_07_phd_defense/assets/crps_learning/uneven_grid.gif
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25_07_phd_defense/assets/crps_learning/weights_lambda.gif
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25_07_phd_defense/assets/crps_learning/weights_lambda.gif
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25_07_phd_defense/assets/logos_combined.xcf
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25_07_phd_defense/assets/logos_combined.xcf
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