partition: Split the data matrix in train and test sets
In sgdGMF: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent
partition R Documentation
Split the data matrix in train and test sets
Description
Returns a list of two matrices train and test.
train corresponds to the input matrix with a fixed persentage of
entries masked by NA values. test is the complement of train
and contains the values of the input matrix in the cells where train
is NA, while all the other entries are filled by NA values.
Usage
partition(y, p = 0.3)
Arguments
y
input matrix to be split into train and test sets
p
fraction of observations to be used for the test set
sgdGMF documentation built on June 8, 2025, 12:05 p.m.
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| partition | R Documentation |
Split the data matrix in train and test sets
Description
Returns a list of two matrices train and test.
train corresponds to the input matrix with a fixed persentage of
entries masked by NA values. test is the complement of train
and contains the values of the input matrix in the cells where train
is NA, while all the other entries are filled by NA values.
Usage
partition(y, p = 0.3)
Arguments
y |
input matrix to be split into train and test sets |
p |
fraction of observations to be used for the test set |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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