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satzz / file0.txt
Last active July 27, 2019 14:43
Macを手に入れたらやること ref: https://qiita.com/satzz/items/b9861f13842e076f3946
$ defaults write com.apple.screencapture location ~/Pictures/
$ killall SystemUIServer
@satzz
satzz / .block
Last active November 19, 2016 23:40
fresh block
license: mit
@satzz
satzz / .block
Created November 19, 2016 22:56
minimum viable three-d billiards
license: mit
border: no
$ wget http://repo.continuum.io/archive/Anaconda3-4.0.0-Linux-x86_64.sh
$ bash Anaconda3-4.0.0-Linux-x86_64.sh
exec $SHELL
$ conda -V
conda 4.0.5
@satzz
satzz / map.sample.html
Created January 15, 2016 09:00
map sample
<!DOCTYPE html>
<html>
<head>
<style type="text/css">
html, body { height: 100%; margin: 0; padding: 0; }
#map { height: 100%; }
</style>
<script type="text/javascript" src="http://www.parsecdn.com/js/parse-latest.js"></script>
</head>
<body>
@satzz
satzz / file0.txt
Created January 10, 2016 12:57
WordPressをLinuxへCLIインストールする ref: http://qiita.com/satzz/items/78440b3f9430dc937240
$ sudo yum install php php-mysql
@satzz
satzz / file0.txt
Created January 3, 2016 02:52
k-means法で文書のクラスタリング ref: http://qiita.com/satzz/items/a3a3986750c52fd360d0
import numpy as np
from sklearn.cluster import KMeans
@satzz
satzz / kmeans.py
Last active January 2, 2016 13:15
# -*- coding: utf-8 -*-
import os
from os.path import join, dirname
import MeCab
import gensim
import numpy as np
from sklearn.cluster import KMeans
labels = [
@satzz
satzz / file0.txt
Last active January 2, 2016 06:02
MeCab, gensim, scikit-learnでニュース記事の分類 ref: http://qiita.com/satzz/items/69beb439ed440d459585
# -*- coding: utf-8 -*-
import os
from os.path import join, dirname
import MeCab
import gensim
from sklearn.ensemble import RandomForestClassifier
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import train_test_split
from sklearn.metrics import classification_report
# -*- coding: utf-8 -*-
import os
from os.path import join, dirname
import MeCab
import gensim
from sklearn.ensemble import RandomForestClassifier
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import train_test_split
from sklearn.metrics import classification_report