| import * as tf from '@tensorflow/tfjs'; | |
| import { Tensor3D, Tensor2D, Tensor1D, Tensor4D, Tensor } from '@tensorflow/tfjs'; | |
| function get1dGaussianKernel(sigma, size): Tensor1D { | |
| // Generate a 1d gaussian distribution across a range | |
| var x = tf.range(Math.floor(-size / 2) + 1, Math.floor(size / 2) + 1) | |
| x = tf.pow(x, 2) | |
| x = tf.exp(x.div(-2.0 * (sigma * sigma))) as Tensor1D | |
| x = x.div(tf.sum(x)) |
You will inhabit a small, unexplored world. There are no maps. There are no empires. There are no institutions of grandeur.
You will live in a small town, surrounded by a forrest at the foot of a great mountain. You are aware of only 2 other towns in the world. Travel is severly limited by the wild-things in the forrest.
You must seek out powerful items and larger markets.
| #!/usr/bin ipython | |
| import numpy as np | |
| # data | |
| X = np.asarray([(1.0, 1.0), (1.5, 2.0), (3.0, 4.0), (5.0, 7.0), (3.5, 5.0), (4.5, 5.0), (3.5, 4.5)]) | |
| # Loyds algorithm with Forgy method | |
| import random | |
| # euclidian distance |
| DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE | |
| Version 2, December 2004 | |
| Copyright (C) 2011 YOUR_NAME_HERE <YOUR_URL_HERE> | |
| Everyone is permitted to copy and distribute verbatim or modified | |
| copies of this license document, and changing it is allowed as long | |
| as the name is changed. | |
| DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE |
| //benchmark available here | |
| // clone is the object to recursively copy the attributes of obj to overwriting as necessary. | |
| function x(clone, obj) { | |
| for(var i in obj) | |
| clone[i] = (typeof obj[i] == "object") ? x(obj[i].constructor(), obj[i]) : obj[i]; | |
| return clone; | |
| } |