但是Box-Cox要求y>0,否则在python中会报如下错误信息: ValueError: Data must be positive. 所以对于y<0的情况,可以给y加上一个常数C进行调整,即得如下所示, 二、Python实现 首先需要明确的是Box-Cox变换存在一个超参数lambda,这个超参数控制了数据的变化形式(如一中的公式所示),而且这个lambda也可以使用最大似...
使用django的异步调用场景时，并配置了如下配置：出现了错误：ValueError: Database is int between 0 and limit - 1, not :6379/0 数据
zero_col = data.columns[data.isin([0]).any()]forcolinnumeric_col:#对于那些condition特征,例如取值是0,1,2,3...那些我不作变换,因为意义不大iflen(pd.value_counts(data[col])) <=10:continue;#如果是含有零值的特征,则只对非零值变换,至于用哪种形式变换,boxcox会自动根据数据来调整ifcolinzero_co...
但box-cox变换只能用于严格正的目标值。如果目标（因）变量中有负值，则不能使用box-cox和对数变换。*...
开发者ID:PacktPublishing,项目名称:Mastering-Elasticsearch-7.0,代码行数:13,代码来源:data.py 示例11: test_power_transformer_boxcox_strictly_positive_exception ▲点赞 5▼ # 需要导入模块: from scipy import stats [as 别名]# 或者: from scipy.stats importboxcox[as 别名]deftest_power_transformer_box...
这是一篇本应早就写完的博客文章。一年前我写了一篇文章，关于在 R 中估计 GARCH(1, 1) 模型参数时...
If problems with convergence are encountered, rescaling the data by their means may help. 6 boxcox — Box–Cox regression models Lambda model A less general model than the one above is called the lambda model. It specifies that the same parameter be used in both the left-hand-side and ...
optimal value is to refer to the CalcPar method of the mentioned class by providing it with the link to the array containing the input data. We can get the obtained parameter optimal value by referring to GetPar method. As it has been said before, the input data must be positive. ...