defload_exdata(filename):data=[]withopen(filename,'r')asf:forlineinf.readlines():line=line.split(',')current=[int(item)foriteminline]#5.5277,9.1302data.append(current)returndata data=load_exdata('ex1data2.txt');
rmse_val.append(error) #存储RMSE值 print('RMSE value for k= ' , K , 'is:', error) 输出: RMSE value for k = 1 is: 1579.8352322344945 RMSE value for k = 2 is: 1362.7748806138618 RMSE value for k = 3 is: 1278.868577489459 RMSE value for k = 4 is: 1249.338516122638 RMSE value for...
python LogisticRegression 设置正例样本positive取值 python正态检验,统计学,风控建模经常遇到正态分布检验。正态分布检验在金融信贷风控建模中常用于变量校验,让模型具有统计学意义。正态分布检验在生物医药领域也有广泛应用。很多NCBI,Science,Nature等知名平台发布
(information gain) by default it is gini # model = tree.DecisionTreeRegressor() forregression# Train the model using the training sets andcheck score model.fit(X,y) model.score(X,y)#Predict predicted=model.predict(x_test) R code library(rpart) x # grow tree fit #Predict Output ...
Start learning Python now » Learning by Examples With our "Try it Yourself" editor, you can edit Python code and view the result. ExampleGet your own Python Server print("Hello, World!") Try it Yourself » Click on the "Try it Yourself" button to see how it works. ...
object LinearRegression { def main(args: Array[String]) { // 构建Spark对象 val conf = new SparkConf().setAppName("LinearRegressionWithSGD").setMaster("local") val sc = new SparkContext(conf) Logger.getRootLogger.setLevel(Level.WARN) // sc.setLogLevel("WARN") //读取样本数据 val data_...
https://github.com/thomas-haslwanter/statsintro_python/tree/master/ISP/Code_Quantlets/08_TestsMeanValues/anovaOneway # -*- coding: utf-8 -*-'''Name of QuantLet: ISP_anovaOneway微信公众号:pythonEducationPublished in: An Introduction to Statistics with PythonDescription: 'Analysis of Variance ...
02_python_linear_regression importnumpyasnp#NumPy, a popular library for scientific computing importmatplotlib.pyplotasplt#Matplotlib, a popular library for plotting data plt.style.use('./deeplearning.mplstyle') # x_train is the input variable (size in 1000 square feet)...
Python has methods for finding a relationship between data-points and to draw a line of linear regression. We will show you how to use these methods instead of going through the mathematic formula.In the example below, the x-axis represents age, and the y-axis represents speed. We have ...
Explanation of logistic regression cost function(optional) 之前我们的到了Loss Funtion,现在对其进行一个解释 y hat 等于σ(w T x+b) ,y hat 可以看做是预测结果为1的一个概率,即P(y=1|x),所以我们能得到: 因为log函数为单调函数,我们可以对其进行一个log的处理得到: ...