Validates that training data is suitable for ML algorithms.
Checks for target variable existence, feature alignment with covariates,
and data quality issues.
Usage
validate_ml_data(data, target_col, field_data = NULL)
Arguments
- data
Training data frame or sf object
- target_col
Name of target variable column
- field_data
Optional FieldData object to validate feature alignment
Value
List with ML validation results
