The code source is available on DataLab: Understanding Logistic Regression in Python. Advantages Because of its efficient and straightforward nature, it doesn't require high computation power, is easy to implement, easily interpretable, and used widely by data analysts and scientists. Also, it doesn...
接下来,上传最近写的SGD Python代码,首先是引入模块:logisticRegression.py,这里面定义了两个class:LogisticRegressionWithSGD,LRModel,还有全局函数RMSE,loadDataSet和sigmoid函数。后面是测试代码,主要是参数调优。 logisticRegression.py: View Code 测试代码,把最优模型保存在npy文件里,以后使用的时候,直接取出来,不用...
与R语言和RStudio类似,Python也有它的IDE(集成开发环境)-PyCharm,就是一个用来编写Python程序的软件。PyCharm带有一整套可以帮助用户在使用Python语言开发时提高其效率的工具,比如调试、语法高亮、项目管理、代码跳转、智能提示、自动完成、单元测试、版本控制。此外,该IDE提供了一些高级功能,以用于支持Django框架下的专业...
其中os模块主要用于在本地查找dataset文件,具有目录的处理以及文件的判断等函数;gzip模块提供了一些简单的对文件进行压缩和解压缩的函数功能;cPickle模块可以对任意一种类型的python对象进行序列化操作。 1、程序中的os模块 在load_data(dataset)函数中,使用到的主要是os.path模块,使用到的函数是: os.path.split(path...
# Logistic Regression with a Neural Network mindset# Initializing parameters# Calculating the cost function and its gradient# Using an optimization algorithm (gradient descent)""" numpy is the fundamental package for scientific computing with Python. ...
h5pyis a common package to interact with a dataset that is stored on an H5 file. matplotlibis a famous library to plot graphs in Python. PILandscipyare used here to test your model with your own picture at the end. 代码语言:javascript ...
microsoftml.rx_logistic_regression(formula: str, data: [revoscalepy.datasource.RxDataSource.RxDataSource, pandas.core.frame.DataFrame], method: ['binary', 'multiClass'] = 'binary', l2_weight: float = 1, l1_weight: float = 1, opt_tol: float = 1e-07, memory_size: int = 20, init...
Code Issues Pull requests Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset python sklearn regression logistic Updated Aug 23, 2017 Jupyter Notebook Saransh-cpp / Chaotic-Encryption Star 24 Code Issues Pull requests This repository ...
技术标签:machine learningartificial intelligencepython 1.Outline about regression problem: We have a bunch of data, and with the data we try to build an equation to do classification for us. The equation is the function of some parameters and featu... ...
df_german=pd.read_excel("D:/study/5/code/python/python Data analysis and mining/class/dataset/german.xls") y=df_german.ix[:,-1] x=df_german.ix[:,:-1] l1 = [] for i in range(1000): print('***'*50) print('第',i+1,'次test') #...