以下是用于训练模型的参数。

"input" : training data
"output" : path to the file where model will be written.
"target" : dependent variable which is to be predicted
"categories" : number of unique possible values that target can be assigned
"predictors" : list of field names that are to be used to predict target variable
"types" : datatypes for the items in predictor list
"passes" : number of passes over the input data
"features" : size of internal feature vector
"lambda" : amount of co-efficient decay to use
"rate" : initial learning rate

详细描述请参考mahout post中的logistic回归。