Homework 04: Metropolis-Hastings and Cross Validation

%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
import numpy as np
import pandas as pd
import os.path
import subprocess
from sklearn import model_selection, ensemble

Helpers for Getting, Loading and Locating Data

def wget_data(url: str):
    local_path = './tmp_data'
    p = subprocess.Popen(["wget", "-nc", "-P", local_path, url], stderr=subprocess.PIPE, encoding='UTF-8')
    rc = None
    while rc is None:
      line = p.stderr.readline().strip('\n')
      if len(line) > 0:
        print(line)
      rc = p.poll()

def locate_data(name, check_exists=True):
    local_path='./tmp_data'
    path = os.path.join(local_path, name)
    if check_exists and not os.path.exists(path):
        raise RuxntimeError('No such data file: {}'.format(path))
    return path

Acknowledgments

• Initial version: Mark Neubauer

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