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j-min / R_custom_ANOVA&Summary
Last active Jun 30, 2016
View R_custom_ANOVA&Summary
ANOVA_SUMMARY = function(formula, data)
# 1. 데이터 전처리
# 종속변수를 항상 첫번째 input으로 "y~." 형식으로 받음
mf = model.frame(formula, data)
y = mf[,1]
Response_name = colnames(mf)[1] # 종속변수의 이름
Variable_name = c("(intercept)", colnames(mf)[-1]) # 독립변수의 이름
n = nrow(mf)
j-min /
Created Jul 13, 2016 — forked from karpathy/
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
View sejong_treebank.txt.v1
This file has been truncated, but you can view the full file.
; 새 생명.
(NP (DP 새/MM)
(NP 생명/NNG + ./SF))
; 나는 돈이다.
(S (NP_SBJ 나/NP + 는/JX)
(VNP 돈/NNG + 이/VCP + 다/EF + ./SF))
; 만 원이라는 이름을 붙인 채, 이제 막 태어났다.
j-min / KoNLPy Install (Ubuntu & Python 2)
Last active Sep 30, 2016
KoNLPy Install (Ubuntu & Python 2)
View KoNLPy Install (Ubuntu & Python 2)
# Reference:
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install g++ openjdk-7-jdk python-dev python3-dev --fix-missing
sudo pip install JPype1
sudo pip install konlpy
sudo apt-get install curl
bash <(curl -s
j-min /
Last active Oct 12, 2016
Mecab-ko based POS tagging iterator
from konlpy.tag import Mecab
mecab = Mecab()
import sys
def mecab_pos_tag():
while True:
a = raw_input()
for x in mecab.pos(a):

NLTK API to Stanford NLP Tools compiled on 2015-12-09

Stanford NER

With NLTK version 3.1 and Stanford NER tool 2015-12-09, it is possible to hack the StanfordNERTagger._stanford_jar to include other .jar files that are necessary for the new tagger.

First set up the environment variables as per instructed at

j-min /
Last active Nov 8, 2016
Jupyter Notebook setup on AWS EC2
sudo apt-get upgrade
sudo apt-get update
sudo pip install jupyter notebook
jupyter notebook --generate-config
from notebook.auth import passwd
j-min /
Last active Nov 15, 2016 — forked from erikbern/
TensorFlow Installation Log
# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
# The CUDA part is mostly based on this excellent blog post:
# Install various packages
sudo apt-get update
import csv
import os
def get_csv_writer(filename, rows, delimiter):
with open(filename, 'w') as csvfile:
fieldnames = rows[0].keys()
writer = csv.DictWriter(csvfile, fieldnames=fieldnames, delimiter=delimiter)
for row in rows:
j-min /
Created Nov 24, 2016
Python 2/3 compatibility
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
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