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Problem with attribute explanatory_space (due to method extract on MultivariateData?) #34
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This issue seems to be related to StatisKit/Core#81 |
Any way, are |
Salut Pierre,
J'aimerais bien tester tes modifs des sample spaces mais je n'arrive pas à
les récupérer.
C'est parce que tu les a commité uniquement sur ton compte c'est ça ?
Merci
A+
Jean
Le ven. 26 avr. 2019 à 16:13, Pierre Fernique <notifications@github.com> a
écrit :
… Any way, are UnivariateConditionalData and MultivariateConditionalData
really useful ?
Would it be clearer to provide only one way to fit regressions using the
MultivariateData along with response and explanatory indices (or names)
as for the *R* language ?
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Jean Peyhardi
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As you can see on the related issue feed, they are still some changes to do before merging the code. PLEASE EDIT YOUR PREVIOUS COMMENT AS AN ISSUE COMMENT |
I agree with the fact that conditional data are not mandatory. It would be clearer to use only MultivariateData to fit regressions. |
After estimation of a GLM (Poisson, binary, nominal or ordinal), the attribute explanatory_space of the model does not works when the estimation is made from the MultivariateData. It seems to be a problem of deleted pointer.
On the contrary, there is no problem when the estimation is made from UnivariateConditionalData.
I do not understand what is different in the two approaches.
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