qq_44814439的博客

python 批量改变文件名

qq_44814439 — Sun, 23 Oct 2022 22:20:30 +0800

哈

tensorflow 实现CNN

qq_44814439 — Wed, 16 Mar 2022 18:42:32 +0800

# -*- coding: utf-8 -*- """ Created on Wed Dec 2 19:02:44 2020 @author: mxc """ import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist=input_data.read_data_sets('MNIST_data',one_hot=True) learning_rate=1e-4 keep_prob_rate

Keras实现SEnet实验

qq_44814439 — Wed, 16 Mar 2022 18:41:08 +0800

import numpy as np import pandas as pd from sklearn.model_selection import train_test_split, KFold from sklearn.utils import shuffle from tensorflow.keras.layers import Dense, Conv2D, BatchNormalization, Activation, add, multiply from tensorflow.keras.laye

tensorflow 实现 RNN 实验

qq_44814439 — Wed, 16 Mar 2022 18:39:45 +0800

import numpy as np import tensorflow as tf import os import json start_token = 'B' end_token = 'E' model_dir = './model' def process_poems(): poems_vector = np.load('poems_index.npy', allow_pickle=True) with open('word2int.json','r') as f:

C++ vector与set转换

qq_44814439 — Mon, 07 Mar 2022 16:37:47 +0800

int removeDuplicates(vector& nums) { set st(nums.begin(), nums.end()); nums.assign(st.begin(), st.end()); return st.size(); }

python连接mysql数据库并导入csv文件

qq_44814439 — Sun, 27 Jun 2021 16:02:01 +0800

import csv L = csv.reader(open('small_user.csv')) import pymysql db = pymysql.connect(host='127.0.0.1', user='root', passwd='', db='taobao', charset='utf8') # 远程访问指定IP上的数据库 cursor = db.cursor() #user_id,item_id,behavior_type,user_geohash,

Python3：Python+spark编程实战

qq_44814439 — Fri, 14 May 2021 08:21:58 +0800

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2021/5/13 15:24 # @Author : Pyuser # @Site : # @File : 尝试.py # @Software: PyCharm #studentExample 例子练习 def map_func(x): s = x.split() return (s[0], [int(s[1]),int(s[2]),int(s[3])]

Python封装类序列化反序列化

qq_44814439 — Wed, 12 May 2021 15:55:00 +0800

import pickle class Person(): def __init__(self,bank,telephone,month,money): self.bank = bank self.telephone = telephone self.month=month self.money=money total=[] with open("MR数据的统计.txt")as f: file=f.read().splitlines().

python回归分析lasso,ridge,SVM,rf,kfold,pcc

qq_44814439 — Thu, 08 Apr 2021 13:29:06 +0800

from sklearn.linear_model import Ridge, Lasso, ElasticNetCV from sklearn.model_selection import GridSearchCV, KFold from sklearn.svm import SVR from sklearn.ensemble import AdaBoostRegressor, RandomForestRegressor from sklearn.neighbors import KNeighborsRe

依存树

qq_44814439 — Thu, 03 Dec 2020 19:41:35 +0800

import spacy import networkx as nx import re import nltk import nltk.data #情感分析 from textblob import TextBlob from nltk.corpus import sentiwordnet from collections import defaultdict nlp=spacy.load('en_core_web_sm') alltext=[] sentext=[] juzi='' file = o

python五子棋

qq_44814439 — Tue, 01 Dec 2020 20:11:17 +0800

"""五子棋之人机对战""" import sys import random import pygame from pygame.locals import * import pygame.gfxdraw from collections import namedtuple Chessman = namedtuple('Chessman', 'Name Value Color') Point = namedtuple('Point', 'X Y') BLACK_CHESSMAN = Chessman

神经网络task1

qq_44814439 — Thu, 26 Nov 2020 10:49:24 +0800

import os import numpy as np import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers, datasets, optimizers os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" def mnist_dataset(): (x, y), (x_test, y_test) = datasets.mnist.load_d

Python 刷题

qq_44814439 — Sun, 15 Nov 2020 20:53:57 +0800

class Solution: def longestZigZag(self, root: TreeNode) -> int: if root == None: return 0 self.max_ = 0 self.dfs(root, 0, 0) return self.max_ def dfs(self, root, prev, depth): self.max_ =

BosonNLP情感词典评论情感分析

qq_44814439 — Tue, 10 Nov 2020 20:16:36 +0800

from snownlp import SnowNLP import pandas as pd from collections import defaultdict import os import re import jieba import codecs ''' #读取评论内容的.txt文件 txt = open('C:/Users/24224/Desktop/1.txt',encoding='utf-8') text = txt.readlines() print(text) #确认读取文件成功，

TFIDF词频-逆向文件频率算法Python

qq_44814439 — Sat, 17 Oct 2020 18:29:02 +0800

# -*- coding: utf-8 -*- import math import re import codecs from operator import itemgetter import jieba import jieba.posseg as pseg import os import sys from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text impor

Python爬虫广度优先代码实现

qq_44814439 — Sun, 07 Jun 2020 23:43:20 +0800

# encoding=utf-8 from bs4 import BeautifulSoup import socket import urllib.request as request import re class linkQuence: def __init__(self): # 已访问的url集合 self.visted = [] # 待访问的url集合 self.unVisited = [] # 获取访问过的u

M-H Python实现

qq_44814439 — Sat, 30 May 2020 10:53:26 +0800

import random from scipy.stats import gamma,rayleigh import matplotlib.pyplot as plt def rayleigh_dist_prob(x,a): #提议分布 y = rayleigh.pdf(x,a) return y def gamma_dist_prob(x): #提议分布 y = gamma.pdf(x,1,scale=1) return y a=1.9 sigmaf=4 T = 1000

Openmp 矩阵乘法和奇偶排序

qq_44814439 — Wed, 27 May 2020 09:36:37 +0800

这里写自定义目录标题欢迎使用Markdown编辑器新的改变功能快捷键合理的创建标题，有助于目录的生成如何改变文本的样式插入链接与图片如何插入一段漂亮的代码片生成一个适合你的列表创建一个表格设定内容居中、居左、居右SmartyPants创建一个自定义列表如何创建一个注脚注释也是必不可少的KaTeX数学公式新的甘特图功能，丰富你的文章UML 图表FLowchart流程图导出与导入导出导入欢迎使用Markdown编辑器你好！这是你第一次使用 Markdown编辑器所展示的欢迎页。如果你想学习如何使用Mar

Python 层次聚类+K-means算法+可视化数据挖掘

qq_44814439 — Mon, 25 May 2020 09:39:44 +0800

层次聚类: import pandas as pd import scipy.cluster.hierarchy as sch from sklearn.cluster import AgglomerativeClustering from sklearn.preprocessing import MinMaxScaler from matplotlib import pyplot as plt # 读取数据 data = pd.read_csv(r'C:/Users/24224/Desktop/count

没阅读完的Python代码(2)

qq_44814439 — Sun, 24 May 2020 10:01:28 +0800

import numpy as np import matplotlib import matplotlib.pyplot as plt from distutils.version import LooseVersion from scipy.stats import norm from sklearn.neighbors import KernelDensity # `normed` is being deprecated in favor of `density` in histograms if L