Esempi in Python per plot_bias_variance

Esempio n. 1

File: classify.py Progetto: Axighi/Scripts

def bias_variance_analysis(clf_class, parameters, name):
    data_sizes = np.arange(60, 2000, 4)

    train_errors = []
    test_errors = []

    for data_size in data_sizes:
        train_error, test_error = measure(
            clf_class, parameters, name, data_size=data_size)
        train_errors.append(train_error)
        test_errors.append(test_error)

    plot_bias_variance(data_sizes, train_errors, test_errors, name, "Bias-Variance for '%s'" % name)

Esempio n. 2

File: classify.py Progetto: kiritowch/building-ml-systems-with-python

def bias_variance_analysis(clf_class, parameters, name):
    data_sizes = np.arange(60, 2000, 4)

    train_errors = []
    test_errors = []

    for data_size in data_sizes:
        train_error, test_error = measure(
            clf_class, parameters, name, data_size=data_size)
        train_errors.append(train_error)
        test_errors.append(test_error)

    plot_bias_variance(data_sizes, train_errors,
                       test_errors, name, "Bias-Variance for '%s'" % name)

Esempio n. 3

File: Measure.py Progetto: scottlove/PythonML

def bias_variance_analysis(clf_class, parameters, name,X,Y):
    data_sizes = np.arange(60, 2000, 4)

    train_errors = []
    test_errors = []

    for data_size in data_sizes:
        try:
            train_error, test_error,avg_sum = measure(clf_class, parameters, name, X,Y)
            train_errors.append(train_error)
            test_errors.append(test_error)
        except:
            print "data size error********************"
            print data_size

    plot_bias_variance(data_sizes, train_errors, test_errors, name, "Bias-Variance for '%s'" % name)