ukakasu的博客

文本中除开头两行每行都记录着另外一些文本的文件名，并已经排好序，根据这些文件名把文件从文件夹中复制到另外一个文件夹，并在文件名前根据在文本中的顺序加上序号import osf = open("molscore.txt")lines = f.readlines()mol_list = []i=1for line in lines: if i<=100 and not

# pip install lightgbm==2.1.2import lightgbm as lgbimport pandas as pdfrom pandas import DataFrameimport gcfrom sklearn.model_selection import train_test_splitfrom matplotlib import pyplot #...

missingno绘制缺失数据分布图import seaborn as sns # advanced vizsimport missingno as msno # missing values# missing values?sns.set(style = "ticks")msno.matrix(data)#https://github.com/ResidentMario/m...

python 绘制拟合曲线并加指定点标识import osimport numpy as npfrom scipy import logfrom scipy.optimize import curve_fitimport matplotlib.pyplot as pltimport mathfrom sklearn.metrics import r2_score# 字体pl...

pandas中用小数作为index进行join，结果发现数据条数变少，怀疑是精度问题所致。解决方法：将小数作为index之前先转换为str，再作为index。df = df.round({0: 3})df[0] = df[0].astype(str)df = df.set_index(0) ...

基于keras的神经网络分类模型（二分类、多分类）from matplotlib import pyplotimport pandas as pdfrom sklearn.preprocessing import MinMaxScalerfrom keras.models import Sequentialfrom keras.layers.core import Dense, Dropo...

1、回归from sklearn.model_selection import train_test_splittrain_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.25)2、分类X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_s...

一、分类    二分类：eval_metric='auc'/'logloss'    多分类：eval_metric='mlogloss'    1、样本均衡：        准确度，二分类还可以选择auc。from sklearn.metrics import accuracy_scorefrom sklearn.metrics import classification...

归一化模型保存from sklearn import preprocessingmin_max_scaler = preprocessing.MinMaxScaler()X = min_max_scaler.fit_transform(X)from sklearn.externals import joblibjoblib.dump(min_max_scaler, 'scalar01'...

基于keras的神经网络回归模型import matplotlib.pyplot as pltfrom math import sqrtfrom matplotlib import pyplotimport pandas as pdfrom numpy import concatenatefrom sklearn.preprocessing import MinMaxScalerfro...

环境最好为centos7，centos6下需升级gcc1、安装gcc 下载：https://download.youkuaiyun.com/download/ukakasu/10368679 rpm -ivh *2、升级gcc 下载：https://download.youkuaiyun.com/download/ukakasu/103686902.1、安装gmp-4.3.2...

map函数import sysfor line in sys.stdin: line = line.strip() words = line.split() for word in words : print "%s\t%s" % (word , 1)reduce函数import syscurrent_word=Nonecurrent_

最近在服务器上应用Pharmdock软件进行运算时，只能利用一个cpu，考虑到cpu浪费太多，于是考虑到了多线程import osfrom multiprocessing import Pooldef get_mol_paths(folder): return (os.path.join(folder,f) for f in os.listdir(folder) if f.end

import requestsfrom scrapy.downloadermiddlewares.retry import RetryMiddlewarefrom scrapy.utils.response import response_status_messageimport base64import logginglogger = logging.getLogger(__name...