mise en forme de livre bookdown

_bookdown.yml

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+book_filename: intro_to_ml
+rmd_files: ["index.Rmd",
+            "01_intro.Rmd",
+            "02_moindres_carres.Rmd",
+            "02_b_breviaire_proba_stat.Rmd",
+            "02_a_application_abalone.Rmd",
+            "03_tikhonov.Rmd",
+            "04_validation_croisee.Rmd",
+            "05_presentation_svd.Rmd",
+            "05_b_svd_pca.Rmd",
+            "06_matrice_definie_non_negative.Rmd",
+            "07_multiplicateurs_de_lagrange.Rmd",
+            "08_derivation_svd.Rmd",
+            "09_puissance_iteree_valeur_propre.Rmd",
+            "10_puissance_iteree_svd.Rmd",
+            "11_projecteurs.Rmd",
+            "12_factorisation_qr.Rmd",
+            "13_puissance_iteree_par_blocs.Rmd",
+            "14_geometrie_ridge_svd.Rmd",
+            "15_loocv.Rmd",
+            "16_biais_variance_estimateur.Rmd",
+            "17_biais_variance_ridge.Rmd",
+            "18_kernel_ridge_regression.Rmd",
+            "19_nystroem_approximation.Rmd",
+            "20_tp_dilemme_biais_variance_sujet.Rmd",
+            "20_tp_dilemme_biais_variance.Rmd",
+            "21_tp_projection_aleatoire_sujet.Rmd",
+            "21_tp_projection_aleatoire.Rmd",
+            "21_b_tp_projection_aleatoire_housing_pca.Rmd",
+            "21_c_tp_projection_aleatoire_housing_elm.Rmd",
+            "22_tp_kernel_ridge_regression_sujet.Rmd",
+            "22_tp_kernel_ridge_regression.Rmd",
+            "99_references.Rmd"]

_output.yml

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+bookdown::pdf_book:
+  number_section: yes
+  includes:
+    in_header: preamble.tex
+  toc_depth: 3
+  toc_appendix: yes
+  extra_dependencies:
+    algorithm2e: [ruled,vlined,linesnumbered]

index.Rmd

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+---
+title: "Introduction au Machine Learning"
+author: "Pierre-Edouard Portier"
+documentclass: book
+geometry: margin=2cm
+fontsize: 12pt
+date: "Mars 2022"
+toc: true
+classoption: fleqn
+bibliography: intro_to_ml.bib
+link-citations: yes
+---

make_book

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+#!/bin/bash
+
+Rscript -e 'library(bookdown);bookdown::render_book()'