Nothing
zv_msg <- paste(
"Before centering and scaling the numeric predictors, any predictors with",
"a single unique value are filtered out."
)
dist_msg <-
paste(
"Since distance calculations are used, the predictor",
"variables should be on the same scale."
)
dot_msg <-
paste(
"Since dot product calculations are used, the predictor",
"variables should be on the same scale."
)
reg_msg <-
paste(
"Regularization methods sum up functions of the model slope coefficients.",
"Because of this, the predictor variables should be on the same scale."
)
dummy_msg <-
paste(
"This model requires the predictors to be numeric. The most common method to",
"convert qualitative predictors to numeric is to create binary indicator",
"variables (aka dummy variables) from these predictors."
)
dummy_hot_msg <-
paste(
dummy_msg,
"However, for this model, binary indicator variables can be made for",
"each of the levels of the factors (known as 'one-hot encoding')."
)
string_to_factor_msg <-
paste(
"For modeling, it is preferred to encode qualitative data as factors",
"(instead of character)."
)
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