StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

POUsing outer() with predict()
primarykey
Id
2054772
data
AcceptedAnswerId
2058348
AnswerCount
2
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2010-01-13T06:01:26.820
FavoriteCount
1
LastActivityDate
2010-01-13T16:25:27.557
LastEditDate
LastEditorUserId
0
OwnerUserId
234233
ParentId
0
PostTypeId
1
Score
1
ViewCount
463
LastEditorDisplayName
text
Body
I am trying to use the outer function with predict in some classification code in R. For ease, we will assume in this post that we have two vectors named alpha and beta each containing ONLY 0 and 1. I am looking for a simple yet efficient way to pass all combinations of alpha and beta to predict. I have constructed the code below to mimic the lda function from the MASS library, so rather than "lda", I am using "classifier". It is important to note that the prediction method within predict depends on an (alpha, beta) pair. Of course, I could use a nested for loop to do this, but I am trying to avoid this method. Here is what I would like to do ideally: <pre><code>alpha <- seq(0, 1) beta <- seq(0, 1) classifier.out <- classifier(training.data, labels) outer(X=alpha, Y=beta, FUN="predict", classifier.out, validation.data) </code></pre> This is a problem because alpha and beta are not the first two parameters in predict. So, in order to get around this, I changed the last line to <pre><code>outer(X=alpha, Y=beta, FUN="predict", object=classifier.out, data=validation.data) </code></pre> Note that my validation data has 40 observations, and also that there are 4 possible pairs of alpha and beta. I get an error though saying <pre><code>dims [product 4] do not match the length of object [40] </code></pre> I have tried a few other things, some of which work but are far from simple. Any suggestions?
Tags
<r>
Title
Using outer() with predict()
singulars
PostAcceptedAnswerId
1. PO
 singulars
 PostTypePostTypeId
 PTAnswer
PostParentId
1. This table or related slice is empty.
PostTypePostTypeId
1. PTQuestion
UserLastEditorUserId
1. This table or related slice is empty.
UserOwnerUserId
1. USramhiser
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. This table or related slice is empty.
PostsParentIdCreationDate
1. PO
 singulars
 PostTypePostTypeId
 PTAnswer
2. PO
 singulars
 PostTypePostTypeId
 PTAnswer
VotesPostIdCreationDate
1. This table or related slice is empty.
CommentsPostId
1. This table or related slice is empty.

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.