SSLDataFrameToMatrices: Convert data.frame to matrices for semi-supervised learners

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

Convert data.frame to matrices for semi-supervised learners

Description

Given a formula object and a data.frame, extract the design matrix X for the labeled observations, X_u for the unlabeled observations and y for the labels of the labeled observations. Note: always removes the intercept

Usage

SSLDataFrameToMatrices(model, D)

Arguments

model	Formula object with model
D	data.frame object with objects

Value

list object with the following objects:

X	design matrix of the labeled data
X_u	design matrix of the unlabeled data
y	integer vector indicating the labels of the labeled data
classnames	names of the classes corresponding to the integers in y

See Also

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

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