By Adam Anderson
This write-up assumes you have an general understanding of the TensorFlow programming model, but maybe you haven't kept up to date with the latest library features/standard practices.
By Adam Anderson
This write-up assumes you have an general understanding of the TensorFlow programming model, but maybe you haven't kept up to date with the latest library features/standard practices.
sdate=$1 #`date -d'-1 days' +"%Y%m%d"` | |
edate=$2 #`date -d'+0 days' +"%Y%m%d"` | |
date=$sdate | |
declare -a date_array=() | |
#先生成日期数组,然后依次遍历数组中的日期 | |
while [ $date -ne $edate ];do | |
echo "date", $date | |
date_array=("${date_array[@]}" $date) | |
date=`date -d"$date 1 day" '+%Y%m%d'` | |
done |
# coding=utf-8 | |
# auc值的大小可以理解为: 随机抽一个正样本和一个负样本,正样本预测值比负样本大的概率 | |
# 根据这个定义,我们可以自己实现计算auc | |
import random | |
import time | |
def timeit(func): | |
""" | |
装饰器,计算函数执行时间 |
#https://stackoverflow.com/questions/48238113/tensorflow-dynamic-rnn-state | |
import numpy as np | |
import tensorflow as tf | |
n_steps = 2 | |
n_inputs = 3 | |
n_neurons = 5 | |
X = tf.placeholder(dtype=tf.float32, shape=[None, n_steps, n_inputs]) |
#encoding=utf8 | |
import copy, numpy as np | |
import sys | |
np.random.seed(0) | |
#RNN code from http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ | |
# compute sigmoid nonlinearity | |
def sigmoid(x): | |
output = 1/(1+np.exp(-x)) | |
return output |
#执行前先进入root权限 | |
#安装前要看一下python2.7是否已安装 | |
#如何判断是否已安装 | |
#python2.7 | |
echo "start install python2.7" | |
rm -r Python-2.7.10 | |
rm -rf /usr/local/lib/python2.7 | |
tar xzvf Python-2.7.10.tgz |
#encoding=gbk | |
import random | |
import math | |
#读取数据集 | |
def load_data(filename): | |
dataset = file(filename) | |
x_input=[] | |
y_output=[] | |
for line in dataset: |
#include <stdio.h> | |
#include <stdlib.h> | |
static void print_permutation_r(char S[], int n, int cur, char P[]) | |
{ | |
int i, j; | |
if (cur == n) { // 收敛条件 | |
for (i = 0; i < n; i++) | |
printf("%c ", P[i]); | |
printf("\n"); |