gcardone

#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''Images binary classifier based on scikit-learn SVM classifier.
It uses the RGB color space as feature vector.
'''

from __future__ import division
from __future__ import print_function
from PIL import Image
from sklearn import cross_validation

gcardone

#!/usr/bin/env python

from scipy.stats import t
from numpy import average, std
from math import sqrt

if __name__ == '__main__':
    # data we want to evaluate: average height of 30 one year old male and
    # female toddlers. Interestingly, at this age height is not bimodal yet
    data = [63.5, 81.3, 88.9, 63.5, 76.2, 67.3, 66.0, 64.8, 74.9, 81.3, 76.2,

gcardone

#include <algorithm>
#include <cstdlib>
#include <iterator>
#include <iostream>

#ifndef N
#define N 100
#endif

inline int rand_range(int min, int max) {

gcardone

import org.apache.commons.math3.distribution.TDistribution;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.stat.descriptive.SummaryStatistics;

public class ConfidenceIntervalApp {

    public static void main(String args[]) {
        // data we want to evaluate: average height of 30 one year old male and female toddlers
        // interestingly, at this age height is not bimodal yet
        double data[] = new double[] { 63.5, 81.3, 88.9, 63.5, 76.2, 67.3, 66.0, 64.8, 74.9, 81.3, 76.2, 72.4, 76.2, 81.3, 71.1, 80.0, 73.7, 74.9, 76.2, 86.4, 73.7, 81.3, 68.6, 71.1, 83.8, 71.1, 68.6, 81.3, 73.7, 74.9 };