DJWWW

摘要： 首先对小说进行预处理，使用jieba分词进行分词 import jieba import jieba.analyse jieba.suggest_freq('沙瑞金', True) jieba.suggest_freq('田国富', True) jieba.suggest_freq('高育良', T 阅读全文

摘要： # 创建张量 import tensorflow as tf # 直接创建张量 tf.constant(1.0, dtype=tf.float64) # numpy创建张量 import numpy as np tf.constant(np.array([1, 2])) tf.constant(np 阅读全文

摘要： # z支持向量机 from sklearn.svm import SVC import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap from sklearn.data 阅读全文

摘要： # 高斯模型API import numpy as np from sklearn.naive_bayes import GaussianNB from sklearn.datasets import load_digits from sklearn.model_selection import t 阅读全文

摘要： # 决策树 from sklearn import tree from sklearn.datasets import load_wine from sklearn.model_selection import train_test_split import pandas as pd wine = 阅读全文

摘要： # pandas进行onehot编码 import pandas as pd df = pd.DataFrame([ ["green","M",20,"class1"], ["red","L",21,"class2"], ["blue","XL",30,"class3"], ]) df.column 阅读全文

摘要： setting from fake_useragent import UserAgent BOT_NAME = 'carhome' SPIDER_MODULES = ['carhome.spiders'] NEWSPIDER_MODULE = 'carhome.spiders' ROBOTSTXT_ 阅读全文

摘要： 安装Scrapy框架 1.通过pip安装 pip install scrapy 2.如果在windows下还需要安装pywin32 pip install pywin32 创建爬虫 1.创建项目： scrapy startproject [爬虫的名字] 2.1创建爬虫：进入到爬虫项目的路径执行命令： 阅读全文

摘要： setting: from fake_useragent import UserAgent BOT_NAME = 'wxapp' SPIDER_MODULES = ['wxapp.spiders'] NEWSPIDER_MODULE = 'wxapp.spiders' ROBOTSTXT_OBEY 阅读全文

摘要： import sklearn.datasets as datasets from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split from matpl 阅读全文