eh3rrera

import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import cross_val_predict
from sklearn import metrics
import coremltools


dataset_url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data'
names = ['cultivar', 'alcohol', 'malic_acid', 'ash', 'alkalinity_ash', 'magnesium', 'total_phenols', 'flavonoids', 'nonflavonoid_phenols', 'proanthocyanins', 'color intensity', 'hue', 'od280_od315', 'proline']

Parietal

class Person {
    var name = ""
    var age = 0
    
    init(name: String, age:Int) {
        self.name = name
        self.age = age
    }
}