split_mask_val_test: Split observation into training and validation
In udellgroup/mixedgcImp: Missing value imputation for mixed data through Gaussian copula
split_mask_val_test R Documentation
Split observation into training and validation
Description
Split observation into training and validation
Usage
split_mask_val_test(X_mask, X, val_ratio = 0.5, seed = NULL)
Arguments
X_mask
Masked data
X
Original data
val_ratio
The ratio of validation to training entries
seed
Seed for mask
udellgroup/mixedgcImp documentation built on Jan. 25, 2023, 7:55 p.m.
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| split_mask_val_test | R Documentation |
Split observation into training and validation
Description
Split observation into training and validation
Usage
split_mask_val_test(X_mask, X, val_ratio = 0.5, seed = NULL)
Arguments
X_mask |
Masked data |
X |
Original data |
val_ratio |
The ratio of validation to training entries |
seed |
Seed for mask |
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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