gradientboostedtrees

package

v0.0.0-...-7d47eef Latest Latest Go to latest Published: Apr 12, 2023 License: Apache-2.0, MIT Imports: 10 Imported by: 0

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Repository

github.com/Arnold1/yggdrasil-decision-forests-1

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Documentation ¶

Overview ¶

Package gradientboostedtrees defines the gradient boosted trees model.

Index ¶

Constants
func Create(header *model_pb.AbstractModel, dataspec *dataspec_pb.DataSpecification) model.Implementation
type Model

Constants ¶

View Source

const ModelKey = "GRADIENT_BOOSTED_TREES"

ModelKey is the unique identifier of the model for serizalization.

Variables ¶

This section is empty.

Functions ¶

func Create ¶

func Create(header *model_pb.AbstractModel, dataspec *dataspec_pb.DataSpecification) model.Implementation

Create creates a GBT model.

Types ¶

type Model ¶

type Model struct {
	GbtHeader *gbt_pb.Header
	Forest    *dt.Forest
	// contains filtered or unexported fields
}

Model is a Gradient Boosted Trees model.

func (*Model) Dataspec ¶

func (me *Model) Dataspec() *dataspec_pb.DataSpecification

Dataspec of the model.

func (me *Model) Header() *model_pb.AbstractModel

Header of the model.

func (*Model) LoadSpecific ¶

func (me *Model) LoadSpecific(modelPath string, prefix string) error

LoadSpecific loads a model from disk.

func (*Model) Name ¶

func (me *Model) Name() string

Name of the model.

Source Files ¶

View all Source files

gradientboostedtrees.go

Directories ¶

Path	Synopsis
proto Package proto includes all proto definitions used in the golang package in one large package.	Package proto includes all proto definitions used in the golang package in one large package.

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