Reputation: 2935
I have two matrix one X with all the feature values with 300000 rows and 14 columns, where columns represent the feature ids. for each I have another variable which defines labels Y which is of dimension 300000 x 1 either 0 or 1.
How do I calculate logistic regression from this matrix ?
Upvotes: 1
Views: 4039
Reputation: 277
glmnet will also be ok for your problem
glm1=cv.glmnet(x,y,family="binomial",alpha=0)
prglm=predict(glm1,newx,type="response")
Upvotes: 0
Reputation: 23758
This is surprisingly easy.
m <- glm(Y ~ X, family = 'binomial')
summary(m)
In the future just try typing what seems obvious first. You'll learn much faster if you're not afraid of making mistakes.
Upvotes: 7