classsklearn.linear_model.LassoCV(eps=0.001,n_alphas=100,alphas=None,fit_intercept=True,normalize=False,precompute='auto',max_iter=1000,tol=0.0001,copy_X=True,cv=None,verbose=False,n_jobs=None,positive=False,random_state=None,selection='cyclic') 沿着正则化路径迭代拟合的Lasso模型。 最佳模型由...
Cross Validation (CV) Function to Determine Hyperparameters of the EBlasso Algorithm for Gaussian Model with Normal-Exponential-Gamma (NEG) Prior Distribution
30、基于SelectFromModel和LassoCV的特征选择 import matplotlib.pyplot as plt import numpy as np from sklearn.datasets import load_diabetes from sklearn.feature_selection import SelectFromModel from sklearn.linear_model import LassoCV # 加载数据 diabetes = load_diabetes() X = diabetes.data y = dia...
Cross Validation (CV) Function to Determine Hyperparameters of the EBlasso Algorithm for Binomial Model with Normal-Exponential-Gamma (NEG) Prior Distribution
Cross Validation (CV) Function to Determine Hyperparameter of the Empirical Bayes Lasso Algorithm for Linear Model with Normal + Exponential Prior Distribution
Cross Validation (CV) Function to Determine Hyperparameter of the Empirical Bayes Lasso Algorithm for Binomial Model with Normal + Exponential Prior Distribution