mrchypark

"""A simple implementation of a greedy transition-based parser. Released under BSD license."""
from os import path
import os
import sys
from collections import defaultdict
import random
import time
import pickle

SHIFT = 0; RIGHT = 1; LEFT = 2;

mrchypark

# -*- coding: utf-8 -*-

from __future__ import unicode_literals
from gevent import monkey; monkey.patch_all()

import re
from urlparse import urljoin

from gevent.pool import Pool
import requests

mrchypark

#########################################
## GLOBAL REQUIREMENTS AND DEFINITIONS ##
#########################################
require(RCurl)
require(XML)

loginURL        <- "https://accounts.google.com/ServiceLogin"
authenticateURL <- "https://accounts.google.com/accounts/ServiceLoginAuth"
insightsURL     <- "http://www.google.com/insights/search/overviewReport"

mrchypark

Docker 치트 시트

한국어 번역(초벌) : nacyot

왜 Docker를 사용해야하는가?

Why Should I Care (For Developers)

"나에게 Docker의 매력은 간단히 격리된 환경을 만들 수 있다는 것과, 그러한 환경을 재사용할 수 있다는 점이다."런타임 환경을 한 번 만들어 패키지로 만들면, 이 패키지를 다른 어떤 머신에서도 다시 사용할 수 있다. 또한 여기서 실행되는 모든 것은 마치 가상머신과 같이 호스트로부터 격리되어있다. 무엇보다도 이런 모든 일들이 빠르고 간단히 가능하다.

mrchypark

library(e1071)
library(kernlab)
library(data.table)
library(randomForest)
library(caret)

tra1<-fread("total.train.1.csv")
tra2<-fread("total.train.2.csv")
tes1<-fread("total.test.1.csv")
tes2<-fread("total.test.2.csv")

mrchypark

# Read a CSV file
# Classify the column types
# Determine measures and dimensions
# Generate meta data and store JSON
# Query Solr and store the information in SOLR
# Save the data as cache

# Author: Jitender Aswani, Co-Founder @datadolph.in
# Date: 3/15/2013
# Copyright (c) 2011, under the Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) License

mrchypark

library(shiny)
library(gsheet)

# Helper Functions
read.list <- function(url = "https://docs.google.com/spreadsheets/d/1aJ2Bv8CCR4OhBoVdsQD16OWON89VwuaLYKDDP-OiTG4") {
    as.data.frame(gsheet::gsheet2tbl(url))
}

read.data <- function(url) {
  data <- as.data.frame(gsheet::gsheet2tbl(url))

mrchypark

# 샘플 데이터를 만듬
testData <- data.frame(LET=sample(LETTERS,1000,replace = T),
                   NUM=sample(1:10,1000,replace = T),
                   stringsAsFactors = F)
                   
# 데이터를 확인함
head(testData,100)

# 정렬된 데이터를 확인함

mrchypark

install.packages("data.table")
library(data.table)

mrchypark

# loading packages

library(dplyr)
library(tidyr)
library(igraph)

# set sample data set
options(stringsAsFactors = F)
exd<-data.frame(comp=sample(LETTERS),
                partner1=sample(LETTERS),