{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Hyperparam\u00e8tres, LassoRandomForestRregressor et grid_search (\u00e9nonc\u00e9)\n", "\n", "Le notebook explore l'optimisation des hyper parama\u00e8tres du mod\u00e8le [LassoRandomForestRegressor](http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/ensae_teaching_cs/ml/lasso_random_forest_regressor.html), et fait varier le nombre d'arbre et le param\u00e8tres alpha."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"data": {"text/html": ["
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