Description Usage Arguments Details See Also
Function generating the summary of a FMmodel object.
1 2 3 4 5 |
object |
a FMmodel object (output of |
x |
a FMmodel object (output of |
... |
additional arguments |
The summary contains for instance:
- the number of training examples the model was build with,
- the number of variables (features) the model considers,
- the minimum value of the target vector elements (to truncate the prediction),
- the maximum value of the target vector elements (to truncate the prediction),
- the number of factors for each considered order:
the first element specifies whether linear weights are used (1
) or not (0
),
the second element specifies the number of parameters factorizing the second-order,
the third element specifies the number of parameters factorizing the third-order.
SVM.train
,
FM.train
,
HoFM.train
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