mikhailklassen

import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets, mixture

# Create some random clustered data in 2 dimensions
n_clusters = 3
n_features = 2
n_samples = 500

data = datasets.make_blobs(n_samples=n_samples, 

mikhailklassen

import math

# Better activation function
def take_umbrella(input_1, input_2, w_1=1.0, w_2=1.0):
    '''Let input_1 be a probability between 0.0 and 1.0
    with 0.0 meaning no chance of rain and 1.0 meaning 100%
    chance of rain.

    Let input_2 be a time duration describing minutes spent
    outdoors.'''

mikhailklassen

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<small><i>This notebook was put together by [Jake Vanderplas](http://www.vanderplas.com). Source and license info is on [GitHub](https://github.com/jakevdp/sklearn_tutorial/).</i></small>"
   ]
  },
  {