Check for missing argument or incorrect argument data type in call to function 'predict'.

2021 4 11
1 个回答
回答已采纳
更新时间：2021 4 11
3 次查看（30 天）

0 个投票

I created my model in two different ways first using fitlm and then fitrlinear. With fitlm everything is okay, but with fitrlinear, when in the last row I use predict(mdl2,Xte), it returns me the error.
I checked all the related documentation but I don' understand why it is wrong.
% Xtr,Ytr = training | Xte,Yte = testing
mdl1 = fitlm(Xtr,Ytr);
mdl2 = fitrlinear(Xtr,Ytr,'KFold',5,'Learner','leastsquares','Regularization','lasso');
ypred1 = predict(mdl1,Xte);
ypred2 = predict(mdl2,Xte);

请先登录，再回答此问题。

 采纳的回答

dpb
dpb 2021-4-11

1 个投票

I've never used fitrlinear (didn't know it existed, in fact), but it appears that it returns a composite object and that the required RegressionLinear object is contained in the .Trained property of the object. If I try your model from just some random data, I see
>> mdl2
mdl2 =
RegressionPartitionedLinear
CrossValidatedModel: 'Linear'
ResponseName: 'Y'
NumObservations: 10000
KFold: 5
Partition: [1×1 cvpartition]
ResponseTransform: 'none'
Properties, Methods
Properties for class classreg.learning.partition.RegressionPartitionedLinear:
ResponseTransform
CrossValidatedModel
NumObservations
Y
W
PredictorNames
CategoricalPredictors
ResponseName
Trained
KFold
Partition
ModelParameters
>> mdl2.Trained
ans =
5×1 cell array
{1×1 RegressionLinear}
{1×1 RegressionLinear}
{1×1 RegressionLinear}
{1×1 RegressionLinear}
{1×1 RegressionLinear}
>> mdl2.Trained{1}
ans =
RegressionLinear
ResponseName: 'Y'
ResponseTransform: 'none'
Beta: -0.0320
Bias: -0.0072
Lambda: 1.2500e-04
Learner: 'leastsquares'
Properties, Methods
>>
So, because of the 'Kfold,5' factor, there are five linear models; you can evaluate any one of them by
yhat=predict(mdl2.Trained{1},Xtr);
I've not looked into what the 'Kfold,5' option does, either, so I don't know what that really means to have five returned models; I guess you will. :)
I agree the documentation could be a lot more informative about the content and using it it seems...I dug this out from just copying what an example had done by referencing a property; not by description of the functions.

更多回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Support Vector Machine Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by