Create synthetic units

Function for creating synthetic cases in order to balance the data for training with TEClassifierRegular or TEClassifierProtoNet]. This is an auxiliary function for use with get_synthetic_cases_from_matrix to allow parallel computations.

Usage

create_synthetic_units_from_matrix(
  matrix_form,
  target,
  required_cases,
  k,
  method,
  cat,
  k_s,
  max_k
)

matrix_form: Named matrix containing the text embeddings in matrix form. In most cases this object is taken from EmbeddedText$embeddings.
target: Named factor containing the labels/categories of the corresponding cases.
required_cases: int Number of cases necessary to fill the gab between the frequency of the class under investigation and the major class.
k: int The number of nearest neighbors during sampling process.
method: vector containing strings of the requested methods for generating new cases. Currently "smote","dbsmote", and "adas" from the package smotefamily are available.
cat: string The category for which new cases should be created.
k_s: int Number of ks in the complete generation process.
max_k: int The maximum number of nearest neighbors during sampling process.

Returns a list which contains the text embeddings of the new synthetic cases as a named data.frame and their labels as a named factor.