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Alex Casalboni alexcasalboni

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Happy coding!
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View recurly-payment.html
<!DOCTYPE html>
<!--[if lt IE 7]> <html class="no-js ie6 oldie" lang="en"> <![endif]-->
<!--[if IE 7]> <html class="no-js ie7 oldie" lang="en"> <![endif]-->
<!--[if IE 8]> <html class="no-js ie8 oldie" lang="en"> <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en"> <!--<![endif]-->
<head>
<meta charset="utf-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge"/>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<title>Recurly Test</title>
@alexcasalboni
alexcasalboni / gist:22484e3b9f03764d8ff0
Last active Aug 29, 2015
Replace ugly fed-id user title on user pages
View gist:22484e3b9f03764d8ff0
(function($){
$(function(){
//on domready
muut(function(app){ //on forum load
//init custom DOM structure
var userFeedTitle = $('<span class="userpage-title"></span>');
var title = $('.m-pagetitle').prepend(userFeedTitle);
//on load and update events
app.on('load update', function (_, e) {
//switch userpage class
@alexcasalboni
alexcasalboni / gist:7b7aac3413dc74ee3c4e
Created Nov 6, 2014
Protected channels (only moderators' posts)
View gist:7b7aac3413dc74ee3c4e
(function($){
$(function(){
//on domready
muut(function(app){ //on forum load
//retrieve DOM element
var createInput = $('.m-form.m-create');
var only_admin_channels = ['Your Channel 1', 'Your Channel 2']; // list of channel-titles
var is_moderator = app.is_signed && app.user.is_admin;
//on load and update events
app.on('load update', function (_, e) {
@alexcasalboni
alexcasalboni / your-template-footer.html
Created Nov 6, 2014
CloudAcademy quiz integration
View your-template-footer.html
View build_dataset.py
from itertools import izip
import re
output_file = 'dataset.csv'
input_files = {
'train/X_train.txt': 'train/y_train.txt',
'test/X_test.txt': 'test/y_test.txt'
}
def getOutputLines(filenames):
@alexcasalboni
alexcasalboni / classify.py
Last active Aug 29, 2015
AWS ML Online prediction
View classify.py
import boto3
from boto3.session import Session
#AWS config
session = Session(aws_access_key_id='YOUR_KEY', aws_secret_access_key='YOUR_SECRET_KEY')
machinelearning = session.client('machinelearning', region_name='YOUR_REGION')
model_id = 'YOUR_MODEL_ID'
labels = {'1': 'walking', '2': 'walking upstairs', '3': 'walking downstairs', '4': 'sitting', '5': 'standing', '6': 'laying'}
try:
View classify.py
import urllib2
import json
#web service config
webservice = 'YOUR_WS_URL'
api_key = 'YOUR_WS_KEY'
#dataset config
labels = {
'1': 'walking', '2': 'walking upstairs', '3': 'walking downstairs',
@alexcasalboni
alexcasalboni / response.json
Created May 3, 2015
Azure ML prediction response
View response.json
{
"Results": {
"result": {
"type": "table",
"value": {
"ColumnNames": [
"Col1",
...,
...,
"Scored Probabilities for Class \"1\"",
@alexcasalboni
alexcasalboni / google.py
Last active Jan 21, 2020
Google Prediction API - Train a classification model and generate a new Prediction
View google.py
import httplib2, argparse, os, sys, json
from oauth2client import tools, file, client
from oauth2client.service_account import ServiceAccountCredentials
from googleapiclient import discovery
from googleapiclient.errors import HttpError
#Project and model configuration
project_id = '132567073760'
model_id = 'HAR-model'
@alexcasalboni
alexcasalboni / bigml.py
Last active Sep 9, 2015
BigML - Generate a new Prediction with Model and Ensemble
View bigml.py
from bigml.api import BigML
from bigml.model import Model
from bigml.ensemble import Ensemble
USE_ENSEMBLE = False
labels = {
'1': 'walking', '2': 'walking upstairs',
'3': 'walking downstairs', '4': 'sitting',
'5': 'standing', '6': 'laying'
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