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# impute the data by mean value and if the feature is categorical then by mode value
# Related to [SYSTEMDS-2662] dependency function for cleaning pipelines
#
# INPUT:
# ------------------------------------------------------------------------------------
# X                  Data Matrix (Recoded Matrix for categorical features)
# imputationVector   column mean vector
# ------------------------------------------------------------------------------------
#
# OUTPUT:
# -----------------------------------------------------------------------------------
# X     imputed dataset
# -----------------------------------------------------------------------------------

m_imputeByMeanApply = function(Matrix[Double] X, Matrix[Double] imputedVec)
return(Matrix[Double] X)
# return(List[Unknown] out)
{
  maskNA = is.na(X)
  X = replace(target = X, pattern=NaN, replacement=0)
  X = X + (maskNA * imputedVec)
}
