Exemplos de ensemble em Python

Exemplo n.º 1

Arquivo: diabetes.py Projeto: akul-goyal/Adaboost-Semisupervised-Learning

def preprocess(percentage, basicNN=False):
    printOn.blockPrint()
    if basicNN == True:
        test, unlabel, label, true, x, y, x_true, y_true, x_test, y_test = read.read(
            file='diabetes.csv',
            drop=None,
            retNum=1,
            chopNum=1,
            unlabel_percentage=percentage,
            ytrain=True)
    else:
        test, unlabel, label, true, x, y, x_true, y_true = read.read(
            file='diabetes.csv',
            drop=None,
            retNum=1,
            chopNum=1,
            unlabel_percentage=percentage)
    clfs = classifiers.ensemble(x, y)
    printOn.enablePrint()
    for point in test:
        point.insert(0, point.pop())
    if basicNN == True:
        return unlabel, clfs, true, x, y, test, y_test, x_test
    else:
        return unlabel, clfs, true, x, y, test

Exemplo n.º 2

def preprocess(percentage, basicNN=False):
    printOn.blockPrint()
    if basicNN == True:
        test, unlabel, label, true, x, y, x_true, y_true, x_test, y_test = read.read(
            file='data.csv',
            drop=['id'],
            retNum=1,
            chopNum=0,
            unlabel_percentage=percentage,
            ytrain=True)
    else:
        test, unlabel, label, true, x, y, x_true, y_true = read.read(
            file='data.csv',
            drop=['id'],
            retNum=1,
            chopNum=0,
            unlabel_percentage=percentage)
    clfs = classifiers.ensemble(x, y)
    printOn.enablePrint()
    if basicNN == True:
        return unlabel, clfs, true, x, y, test, y_test, x_test
    else:
        return unlabel, clfs, true, x, y, test