| var gulp = require('gulp'), | |
| jshint = require('gulp-jshint'), | |
| connect = require('gulp-connect'), | |
| livereload = require('gulp-livereload'), | |
| paths = { | |
| scripts: ['scripts/*.js'], | |
| html: ['*/*.html'], | |
| style_css: 'styles/css', | |
| style_sass: 'styles/sass' | |
| }, |
| source("fast-ngrams.R") | |
| con <- file("path_to_file", "r") | |
| data <- readLines(con, encoding = 'UTF-8') | |
| close(con) | |
| data <- clean(data) | |
| onegram <- text_to_ngrams(decode(data), 1) | |
| bigram <- text_to_ngrams(decode(data), 2) | |
| trigram <- text_to_ngrams(decode(data, 3)) |
A simple Webpack + Gulpfile configuration wihtout any need for React.js that assumes you have the following project structure:
node_modules/
bower_components/
scripts/
Entry script is in scripts/entry.js
You should run gulp && gulp build-dev and you are good to go.
| """A generic module to read data.""" | |
| import numpy | |
| import collections | |
| from tensorflow.python.framework import dtypes | |
| class DataSet(object): | |
| """Dataset class object.""" | |
| def __init__(self, |
| import numpy as np | |
| np.random.seed(0) | |
| def cross_validation(X, y, cv_size=0.1): | |
| """Run cross validation on a numpy ndarray and return corresponding indices as well | |
| @param: X data in the form of numpy ndarray | |
| @param: y labels in the form of numpy ndarray | |
| @param: cv_size size of the test set |
| osrm: | |
| command: './start.sh Sweden http://download.geofabrik.de/europe/sweden-latest.osm.pbf' | |
| image: 'irony/osrm5:latest' | |
| ports: | |
| - '5000:5000' | |
| volumes_from: | |
| - osrm-data | |
| osrm-data: | |
| image: 'irony/osrm5:latest' | |
| volumes: |