{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# 2A.ml - Pipeline pour un r\u00e9duction d'une for\u00eat al\u00e9atoire - \u00e9nonc\u00e9\n", "\n", "Le mod\u00e8le Lasso permet de s\u00e9lectionner des variables, une for\u00eat al\u00e9atoire produit une pr\u00e9diction comme \u00e9tant la moyenne d'arbres de r\u00e9gression. Cet aspect a \u00e9t\u00e9 abord\u00e9 dans le notebook [Reduction d'une for\u00eat al\u00e9atoire](http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/td2a_tree_selection_correction.html). On cherche \u00e0 automatiser le processus."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"data": {"text/html": ["
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Pipeline(steps=[('name', 'passthrough')])
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