laughing

laughing

import sys
import numpy as np

from sklearn.datasets import load_svmlight_file
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.externals.joblib import Parallel, delayed

from sklearn.utils import array2d
from sklearn.tree._tree import DTYPE

laughing

execfile("core.py")
from ts import *
import random

random.seed(1)
means = [0.1, 0.1, 0.1, 0.1, 0.9]
n_arms = len(means)
random.shuffle(means)
arms = map(lambda (mu): BernoulliArm(mu), means)
print("Best arm is " + str(ind_max(means)))

laughing

import math
from collections import defaultdict

class LR_SGD(object):
    def __init__(self, eta=1):
        self.w = defaultdict(float)
        self.eta = eta
        self.t = 0

    def sign(self, z):

laughing

# -*- coding: utf-8 -*-
import sys
import MeCab
import json
import unicodedata

m = MeCab.Tagger ("-Ochasen")
for l in sys.stdin:
        l = json.loads(l)
        l = l["comment"]