Lab for Matrix Completion and Imputation of Discrete Rating Data

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Documentation for package ‘RMCLab’ version 0.1.0

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RMCLab-package Lab for Matrix Completion and Imputation of Discrete Rating Data
create_splits Create splits of observed data cells for hyperparameter tuning
cv_folds Create splits of observed data cells for hyperparameter tuning
cv_folds_control Control objects for hyperparameter validation
fraction_grid Construct grid of values for the regularization parameter
get_completed Extract the completed (imputed) data matrix
get_completed.median_impute Extract the completed (imputed) data matrix
get_completed.mode_impute Extract the completed (imputed) data matrix
get_completed.rdmc Extract the completed (imputed) data matrix
get_completed.rdmc_tuned Extract the completed (imputed) data matrix
get_completed.soft_impute Extract the completed (imputed) data matrix
get_completed.soft_impute_tuned Extract the completed (imputed) data matrix
get_imputed Extract the completed (imputed) data matrix
get_lambda Extract the optimal value of the regularization parameter
get_lambda.rdmc Extract the optimal value of the regularization parameter
get_lambda.rdmc_tuned Extract the optimal value of the regularization parameter
get_lambda.soft_impute Extract the optimal value of the regularization parameter
get_lambda.soft_impute_tuned Extract the optimal value of the regularization parameter
get_nb_iter Extract the number of iterations
get_nb_iter.rdmc Extract the number of iterations
get_nb_iter.rdmc_tuned Extract the number of iterations
holdout Create splits of observed data cells for hyperparameter tuning
holdout_control Control objects for hyperparameter validation
lambda_grid Construct grid of values for the regularization parameter
median_impute Median imputation
mode_impute Mode imputation
MovieLensToy Toy example derived from the MovieLens 100K dataset
mult_grid Construct grid of values for the regularization parameter
rdmc Robust discrete matrix completion
rdmc_tune Robust discrete matrix completion with hyperparameter tuning
RMCLab Lab for Matrix Completion and Imputation of Discrete Rating Data
soft_impute Matrix completion via nuclear-norm regularization
soft_impute_tune Matrix completion via nuclear-norm regularization with hyperparameter tuning
validation_control Control objects for hyperparameter validation