split_dataset_ssl: Create Train, Test and Unlabeled Set

In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Create Train, Test and Unlabeled Set

Description

Create Train, Test and Unlabeled Set

Usage

split_dataset_ssl(X, y, frac_train = 0.8, frac_ssl = 0.8)

Arguments

X	matrix; Design matrix
y	factor; Label vector
frac_train	numeric; Fraction of all objects to be used as training objects
frac_ssl	numeric; Fraction of training objects to used as unlabeled objects

See Also

Other RSSL utilities: LearningCurveSSL(), SSLDataFrameToMatrices(), add_missinglabels_mar(), df_to_matrices(), measure_accuracy(), missing_labels(), split_random(), true_labels()

RSSL documentation built on May 29, 2024, 2:38 a.m.