[][src]Struct tensorflow_proto::tensorflow::boosted_trees::learner::AveragingConfig

pub struct AveragingConfig {
    pub config: Option<Config>,
}

When we have a sequence of trees 1, 2, 3 ... n, these essentially represent weights updates in functional space, and thus we can use averaging of weight updates to achieve better performance. For example, we can say that our final ensemble will be an average of ensembles of tree 1, and ensemble of tree 1 and tree 2 etc .. ensemble of all trees. Note that this averaging will apply ONLY DURING PREDICTION. The training stays the same.

Fields

config: Option<Config>

Trait Implementations

impl Clone for AveragingConfig[src]

impl Debug for AveragingConfig[src]

impl Default for AveragingConfig[src]

impl Message for AveragingConfig[src]

impl PartialEq<AveragingConfig> for AveragingConfig[src]

impl StructuralPartialEq for AveragingConfig[src]

Auto Trait Implementations

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