\!hvSSKrSSKr\RR \5urr\RR\SS5r Sr g)Ndatazautompg.csv.gzc`[R"[SS9nUSS2SS24USS2S4p!X4$)a*Auto MPG dataset. Source : https://archive.ics.uci.edu/ml/datasets/Auto+MPG Number of samples : 392 Continuous target variable : mpg Dataset Attributes: - 1) cylinders: multi-valued discrete - 2) displacement: continuous - 3) horsepower: continuous - 4) weight: continuous - 5) acceleration: continuous - 6) model year: multi-valued discrete - 7) origin: multi-valued discrete - 8) car name: string (unique for each instance) Returns -------- X, y : [n_samples, n_features], [n_targets] X is the feature matrix with 392 auto samples as rows and 8 feature columns (6 rows with NaNs removed). y is a 1-dimensional array of the target MPG values. Examples ----------- For usage examples, please see https://rasbt.github.io/mlxtend/user_guide/data/autompg_data/ ,)fname delimiterN)np genfromtxt DATA_PATH)tmpXys gC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\mlxtend/data/autompg.py autompg_datars7@ --i3 7C q#2#v;ArE q 4K) osnumpyr pathsplit__file__this_dir this_filenamejoinr rrrrs@ ''--1- GGLL6+; < "r