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% MyLogisticRegression | |
% | |
% by Faisal Wirakusuma | |
% Implementation of Logistic Regression, inspired by lecture materials from Andrew Ng | |
% http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=MachineLearning&doc=exercises/ex4/ex4.html | |
% | |
classdef MyLogisticRegression < handle | |
properties |
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import weka.core.Instance; | |
import weka.core.Instances; | |
import weka.core.converters.ArffLoader; | |
import weka.clusterers.SimpleKMeans; | |
import weka.clusterers.ClusterEvaluation; | |
import java.io.File; | |
import java.io.FileWriter; | |
/** |
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#!/usr/bin/env python | |
"""Simple HTTP Server With Upload. | |
This module builds on BaseHTTPServer by implementing the standard GET | |
and HEAD requests in a fairly straightforward manner. | |
""" |
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""" | |
This example requires the body-streaming tornado fork at https://github.com/nephics/tornado. | |
Refer to http://groups.google.com/group/python-tornado/browse_thread/thread/791c67cb86c2dea2. | |
Supports uploading an unlimited number/size of files in a single | |
PUT multipart/form-data request. Each file is processed as the stream | |
finds the part in the form data. | |
==USAGE== |
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import tornado.httpserver, tornado.ioloop, tornado.options, tornado.web, os.path, random, string | |
#Actually we didn't need this class | |
class Application(tornado.web.Application): | |
def __init__(self): | |
handlers = [ | |
(r"/", IndexHandler), | |
(r"/upload", UploadHandler) | |
] | |
tornado.web.Application.__init__(self, handlers) |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> | |
<html xmlns="http://www.w3.org/1999/xhtml"> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> | |
<title>Tornado Upload Application</title> | |
</head> | |
<body> | |
<p><h1>Tornado Upload App</h1></p> | |
<form enctype="multipart/form-data" action="/upload" method="post"> | |
File: <input type="file" name="file1" /> |
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import requests | |
def upload_file_to_gcs(): | |
url = 'http://127.0.0.1:8500/save-data-to-gcs/' | |
f = {'file': ('Product_Master.csv', open('C:/Projects/bf/Product_Master.csv', 'rb')), 'file_name': 'Product_Master.csv'} | |
r = requests.post(url, files=f) | |
print r | |
upload_file_to_gcs() | |
def save_data_to_gcs(request): |
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import os | |
import json | |
json_data = open("trayek_data.json").read() | |
print json_data | |
data = json_load(json_data) | |
json_data = open("trayek_data.json") | |
data = json.load(json_data) | |
jsondata = json_data.read() | |
jsondata | |
json_data = open("trayek_data.json") |
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$("#myButton").click(function() { | |
var artistURL = "http://development.dlwelch.com/examples/restservice/JazzArtists.svc/json/Shirley"; | |
var returnData = ""; | |
$.ajax({ | |
type: "GET", | |
dataType: "json", | |
async: true, | |
url: artistURL, | |
error: function(request, status, error) { alert(request.responseText) }, | |
success: function(data) { |
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$.ajax( { | |
url : '/model/user.json', | |
dataType : 'json', | |
beforeSend : function(xhr) { | |
var bytes = Crypto.charenc.Binary.stringToBytes(username + ":" + password); | |
var base64 = Crypto.util.bytesToBase64(bytes); | |
xhr.setRequestHeader("Authorization", "Basic " + base64); | |
}, | |
error : function(xhr, ajaxOptions, thrownError) { | |
reset(); |