senseysensor

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## perceptron.py
# Mathieu Blondel, October 2010

import numpy as np
from numpy import linalg

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

def polynomial_kernel(x, y, p=3):
    return (1 + np.dot(x, y)) ** p
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	# Mathieu Blondel, October 2010

	import numpy as np
	from numpy import linalg

	def linear_kernel(x1, x2):
	return np.dot(x1, x2)

	def polynomial_kernel(x, y, p=3):
	return (1 + np.dot(x, y)) ** p