git clone https://gist.github.com/ishu3101/6fb35afd237e42ef25f9
mv 6fb35afd237e42ef25f9 ConvertTo-Markdown
cd ConvertTo-Markdown
| @Grab(group = 'org.apache.mahout', module = 'mahout-core', version = '0.9') | |
| import org.apache.mahout.cf.taste.impl.common.FastByIDMap | |
| import org.apache.mahout.cf.taste.impl.common.FastIDSet | |
| import org.apache.mahout.cf.taste.impl.model.file.FileDataModel | |
| import org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender | |
| import org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity | |
| //you can get this data from here: http://files.grouplens.org/datasets/movielens/ml-100k.zip | |
| def mlDir = new File(getClass().protectionDomain.codeSource.location.path).parent+'/ml-100k' |
| /** | |
| * Copyright 2013 Kai Sternad | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software | |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| #!/bin/bash | |
| ################################################################################ | |
| # Script for installing Odoo on Ubuntu 14.04, 15.04 and 16.04 (could be used for other version too) | |
| # Author: Yenthe Van Ginneken | |
| #------------------------------------------------------------------------------- | |
| # This script will install Odoo on your Ubuntu 14.04 server. It can install multiple Odoo instances | |
| # in one Ubuntu because of the different xmlrpc_ports | |
| #------------------------------------------------------------------------------- | |
| # Make a new file: | |
| # sudo nano odoo-install.sh |
| // Create WebRTC peer and setup event handlers | |
| let peer = new RTCPeerConnection(iceConfig) | |
| // Subject for the websocket signalling server | |
| let socketSubject = Observable.webSocket({ | |
| // deserialize each binary message received | |
| resultSelector: e => deserialize(e.data) | |
| }) | |
| // Filter for only icecandidate messages | |
| .filter(msg => msg && msg.header && msg.header.event === 'icecandidate' && msg.body && msg.body.candidate) |
| clear | |
| ############## | |
| # Am I root? # | |
| ############## | |
| if [ "x$(id -u)" != 'x0' ]; then | |
| echo 'Error: this script can only be executed by root.' | |
| echo 'Try re-run the script after switched to root account by type "sudo su"' | |
| exit 1 | |
| fi |
| <template> | |
| <div id="app"> | |
| <!-- <img src="./assets/logo.png"> | |
| <HelloWorld msg="Welcome to Your Vue.js App"/> --> | |
| <div class="reveal"> | |
| <div class="slides"> | |
| <section>Single Horizontal Slide</section> | |
| <section> | |
| <section>Vertical Slide 1</section> | |
| <section>Vertical Slide 2</section> |
| """ | |
| Update: (07.29.2022): Fix: train_test_split import | |
| ============================================================== | |
| Restricted Boltzmann Machine features for digit classification | |
| ============================================================== | |
| For greyscale image data where pixel values can be interpreted as degrees of | |
| blackness on a white background, like handwritten digit recognition, the | |
| Bernoulli Restricted Boltzmann machine model (:class:`BernoulliRBM | |
| <sklearn.neural_network.BernoulliRBM>`) can perform effective non-linear |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| import math | |
| class UpperConfidenceBound: | |
| def __init__(self, dataframe, N, m): | |
| self.__dataset = dataframe | |
| self.__N = N | |
| self.__m = m |
| def text = "Going to convert this to Base64 encoding!" | |
| // Encode | |
| def encoded = text.bytes.encodeBase64().toString() | |
| println encoded | |
| // Decode | |
| byte[] decoded = encoded.decodeBase64() | |
| println new String(decoded) |