AGQR の放送を保存するスクリプト.
- 31日まである月に翌日の指定が失敗する
というバグが存在する.
AGQR の放送を保存するスクリプト.
というバグが存在する.
| # Xiaohui Yan, A biterm topic model for short texts(WWW 2013) | |
| require 'set' | |
| class Biterm | |
| def initialize(alpha, beta, k) | |
| @alpha = alpha | |
| @beta = beta | |
| @k = k | |
| @doc_w = { } |
| from scipy.sparse import lil_matrix, csr_matrix | |
| from scipy.sparse.csgraph import maximum_bipartite_matching | |
| import random | |
| N = 10 | |
| M = 10 | |
| random.seed(0) | |
| for x in range(5): | |
| mat = lil_matrix((N, M)) |
| # coding: utf-8 | |
| require 'json' | |
| require 'time' | |
| require 'digest/md5' | |
| srand(0) | |
| data = JSON.load(open("#{__dir__}/checkins.json").read) | |
| output_file = "#{__dir__}/checkins.ics" |
| import numpy as np | |
| import chainer | |
| from chainer import functions as F | |
| from chainer import links as L | |
| class NFMClassifier(chainer.Chain): | |
| def __init__(self, n_feature, n_dim_emb, n_dim_1, n_dim_2): | |
| np.random.seed(6162) | |
| self.n_feature = n_feature |
| from xgboost import XGBClassifier | |
| model = XGBClassifier(seed = 1) | |
| # XOR Pattern | |
| train_data = [ | |
| [1, 0], | |
| [0, 1], | |
| [1, 1], | |
| [0, 0], |
| # Version: 0.6a2 | |
| from xgboost import XGBRegressor | |
| model = XGBRegressor(seed = 1) | |
| # XOR pattern + [0, 0, 0] | |
| train_data = [ | |
| [1, 0] + [0] * 3, | |
| [0, 1] + [0] * 3, | |
| [1, 1] + [0] * 3, |
| #!/usr/bin/env ruby | |
| # cat data.tsv | ccut -d delim -c name,name,name... | |
| require 'trollop' | |
| opts = Trollop::options do | |
| opt :delim, 'delimitor', default: "\t" | |
| opt :column, 'column name(s)', type: String | |
| end | |
| delim = opts[:delim] |
| import numpy as np | |
| import sys | |
| from collections import defaultdict | |
| from lmfit import minimize, Parameters | |
| from sklearn.decomposition import FastICA | |
| import math | |
| # This script is (incomplete and buggy) implementation of | |
| # The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities, (WWW 2015). | |
| # http://www.cs.kumamoto-u.ac.jp/~yasuko/PUBLICATIONS/www15-ecoweb.pdf |
| 0 a 0.545564 | |
| 0 b 0.235328 | |
| 0 c 0.0589112 | |
| 0 d 0.160196 | |
| 1 a 0.282141 | |
| 1 b 0.400634 | |
| 1 c 0.227655 | |
| 1 d 0.0895693 | |
| 2 a 0.0782046 | |
| 2 b 0.155836 |