use sklears_core::error::{Result as SklResult, SklearsError};
#[derive(Debug, Clone)]
pub struct MetricsAggregator;
impl MetricsAggregator {
pub fn aggregate_metrics(_metrics: &[f64], _weights: Option<&[f64]>) -> SklResult<f64> {
Err(SklearsError::NotImplemented(
"MetricsAggregator::aggregate_metrics is not yet implemented".to_string(),
))
}
}
#[derive(Debug, Clone)]
pub struct WeightedAveraging;
impl WeightedAveraging {
pub fn weighted_average(_values: &[f64], _weights: &[f64]) -> SklResult<f64> {
Err(SklearsError::NotImplemented(
"WeightedAveraging::weighted_average is not yet implemented".to_string(),
))
}
}
#[derive(Debug, Clone)]
pub struct RankAggregation;
impl RankAggregation {
pub fn borda_count(_rankings: &[Vec<usize>]) -> SklResult<Vec<usize>> {
Err(SklearsError::NotImplemented(
"RankAggregation::borda_count is not yet implemented".to_string(),
))
}
pub fn kemeny_optimal(_rankings: &[Vec<usize>]) -> SklResult<Vec<usize>> {
Err(SklearsError::NotImplemented(
"RankAggregation::kemeny_optimal is not yet implemented".to_string(),
))
}
}
#[derive(Debug, Clone)]
pub struct ConsensusMetrics;
impl ConsensusMetrics {
pub fn compute_consensus(_rankings: &[Vec<usize>]) -> SklResult<f64> {
Err(SklearsError::NotImplemented(
"ConsensusMetrics::compute_consensus is not yet implemented".to_string(),
))
}
}
#[derive(Debug, Clone)]
pub struct MultiCriteriaEvaluation;
impl MultiCriteriaEvaluation {
pub fn evaluate_multi_criteria(
_criteria_scores: &[Vec<f64>],
_criteria_weights: &[f64],
) -> SklResult<Vec<f64>> {
Err(SklearsError::NotImplemented(
"MultiCriteriaEvaluation::evaluate_multi_criteria is not yet implemented".to_string(),
))
}
}