importnumpyasnpimportpandasaspdimportstatsmodels.apiassmimportitertoolsimporttime Stepwise regression(逐步回归) 方法介绍 逐步回归方法的每一步都是从确定已在模型里的自变量是否删除开始。 增加或删除的标准是显著性水平α,若自变量的p值大于α,则无法拒绝假设H0: β(增加或减少的自变量的判定系数) = 0,这个自变量...
Sports Analytics in Python python data-science machine-learning random-forest numpy linear-regression scikit-learn pandas xgboost data-analysis regularization ridge-regression decision-tree statsmodels gradient-boosting boosting lasso-regression bagging stepwise-regression best-subset-selection Updated Jun 1,...
if sys.platform == 'linux': os.chdir('path/jupyternb/ml/acadsoc/rollingRegression') # Linux path else: os.chdir('D:/Python/rollingRegression') # Windows path class featureSelection(): ''' 多元线性回归特征选择类。 参数 --- random_state : int,默认是None 随机种子。 属性 --- elasticnet...
if sys.platform == 'linux': os.chdir('path/jupyternb/ml/acadsoc/rollingRegression') # Linux path else: os.chdir('D:/Python/rollingRegression') # Windows path class featureSelection(): ''' 多元线性回归特征选择类。 参数 --- random_state : int,默认是None 随机种子。 属性 --- elasticnet...
You can install StepMix with pip, preferably in a virtual environment: pip install stepmix Quickstart A StepMix mixture using categorical variables on a preloaded data matrix. StepMix accepts eithernumpy.arrayorpandas.DataFrame. Categories should be integer-encoded and 0-indexed. ...