billju

import numpy as np
# activation function
sigmoid = lambda x: 1/(1+np.exp(-x))
# set input, output and hyperparameter
X = np.array([
    [1,0,1]
])
y = np.array([
    [1]
])

billju

# 定義計算方法
log2 = lambda x: np.log2(x,where=x!=0)
I = lambda *args: sum([-arg/sum(args)*log2(arg/sum(args)) for arg in args])
G = lambda *args: sum([1-(arg/sum(args))**2 for arg in args])
Cum = lambda F, P, y: P.mean() * F(*[ (P&(y==v)).sum() for v in y.unique() ])
CumSum = lambda F, S, y: sum([ Cum(F, S==v, y) for v in S.unique() ])
E = lambda S, y: CumSum(I, S, y)
Gain = lambda S, y: I(*y.value_counts()) - E(S, y)
SplitGain = lambda S: I(*S.value_counts())
GainRatio = lambda S, y: Gain(S,y) / SplitGain(S)

billju

import numpy as np
A = np.array([['男', '市場部', '24000', '無'],
       ['女', '研發部', '45000', '有'],
       ['男', '會計部', '45000', '無'],
       ['男', '研發部', '40000', '無'],
       ['女', '市場部', '24000', '有'],
       ['女', '研發部', '40000', '無'],
       ['男', '市場部', '24000', '有']])

def Hamming_distance(A):

billju

from selenium import webdriver
driver = webdriver.Chrome('C:/Users/使用者名稱/Downloads/chromedriver.exe')
driver.get('https://shopee.tw/') #會彈出新的頁面
cookies = driver.get_cookies() #格式為list包dict
csrftoken = [item['value'] for item in cookies if item['name'] == 'csrftoken'][0]

billju

/*
 Super Easy Diy Drumpad Example
 GIT: https://gist.github.com/billju/ce1337ea3c1dbb4341ce22dca1b55442
 2017 by Billju 
 Inspired by Evan Kale
 */

#include <Keyboard.h>
#include "MIDIUSB.h"