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example.proto
yggdrasil_decision_forests.dataset.proto
yggdrasil_decision_forests.distribute.proto
yggdrasil_decision_forests.learner.gradient_boosted_trees.proto
yggdrasil_decision_forests.metric.proto
yggdrasil_decision_forests.model.cart.proto
yggdrasil_decision_forests.model.decision_tree.proto
yggdrasil_decision_forests.model.deep.proto
yggdrasil_decision_forests.model.distributed_decision_tree.dataset_cache.proto
yggdrasil_decision_forests.model.distributed_decision_tree.proto
yggdrasil_decision_forests.model.distributed_gradient_boosted_trees.proto
yggdrasil_decision_forests.model.generic_worker.proto
yggdrasil_decision_forests.model.gradient_boosted_trees.proto
yggdrasil_decision_forests.model.hyperparameters_optimizer_v2.proto
yggdrasil_decision_forests.model.isolation_forest.proto
yggdrasil_decision_forests.model.multitasker.proto
yggdrasil_decision_forests.model.postprocessor.proto
yggdrasil_decision_forests.model.postprocessor.smoothed_pav_calibrator.proto
yggdrasil_decision_forests.model.proto
yggdrasil_decision_forests.model.random_forest.proto
yggdrasil_decision_forests.serving.embed.proto
yggdrasil_decision_forests.serving.proto
yggdrasil_decision_forests.tensorflow_no_dep
yggdrasil_decision_forests.utils.distribute_cli.proto
yggdrasil_decision_forests.utils.model_analysis.proto
yggdrasil_decision_forests.utils.proto
yggdrasil_decision_forests.model.postprocessor.proto
Postprocessor
package
yggdrasil_decision_forests.model.postprocessor.proto
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message
Postprocessor
postprocessor.proto:22
Used in:
proto.AbstractModel
optional
bool
enabled
= 1
oneof
postprocessor
smoothed_pav_calibrator.proto.SmoothedPavCalibrator
smoothed_pav_calibrator
= 2