pub fn weighted_quantile_losses(
            mut self,
            input: crate::model::WeightedQuantileLoss,
        ) -> Self {
            let mut v = self.weighted_quantile_losses.unwrap_or_default();
            v.push(input);
            self.weighted_quantile_losses = Some(v);
            self
        }
/// Appends an item to `weighted_quantile_losses`.
///
/// To override the contents of this collection use [`set_weighted_quantile_losses`](Self::set_weighted_quantile_losses).
///
/// <p>An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.</p>
Appends an item to `weighted_quantile_losses`.
To override the contents of this collection use [`set_weighted_quantile_losses`](Self::set_weighted_quantile_losses).

An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.
Appends an item to ` weighted_quantile_losses ` . To override the contents of this collection use [ ` set_weighted_quantile_losses ` ] ( Self :: set_weighted_quantile_losses ) . An array of weighted quantile losses . Quantiles divide a probability distribution into regions of equal probability . The distribution in this case is the loss function .
pub fn weighted_quantile_losses(
            mut self,
            input: crate::model::WeightedQuantileLoss,
        ) -> Self {
            let mut v = self.weighted_quantile_losses.unwrap_or_default();
            v.push(input);
            self.weighted_quantile_losses = Some(v);
            self
        }
pub fn weighted_quantile_losses ( mut self , input : crate :: model :: WeightedQuantileLoss , ) -> Self { let mut v = self . weighted_quantile_losses . unwrap_or_default ( ) ; v . push ( input ) ; self . weighted_quantile_losses = Some ( v ) ; self }
Appends an item to `weighted_quantile_losses`.
Appends an item to ` weighted_quantile_losses ` .
mut self
input
crate::model::WeightedQuantileLoss
mut self
input
crate::model::WeightedQuantileLoss