Class HparamSearchSpaces

Hyperparameter search spaces. These should be a subset of training_options.

Inheritance

object

HparamSearchSpaces

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Bigquery.v2.Data

Assembly: Google.Apis.Bigquery.v2.dll

Syntax

public class HparamSearchSpaces : IDirectResponseSchema

Properties

ActivationFn

Activation functions of neural network models.

Declaration

[JsonProperty("activationFn")]
public virtual StringHparamSearchSpace ActivationFn { get; set; }

Property Value

Type	Description
StringHparamSearchSpace

BatchSize

Mini batch sample size.

Declaration

[JsonProperty("batchSize")]
public virtual IntHparamSearchSpace BatchSize { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

BoosterType

Booster type for boosted tree models.

Declaration

[JsonProperty("boosterType")]
public virtual StringHparamSearchSpace BoosterType { get; set; }

Property Value

Type	Description
StringHparamSearchSpace

ColsampleBylevel

Subsample ratio of columns for each level for boosted tree models.

Declaration

[JsonProperty("colsampleBylevel")]
public virtual DoubleHparamSearchSpace ColsampleBylevel { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

ColsampleBynode

Subsample ratio of columns for each node(split) for boosted tree models.

Declaration

[JsonProperty("colsampleBynode")]
public virtual DoubleHparamSearchSpace ColsampleBynode { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

ColsampleBytree

Subsample ratio of columns when constructing each tree for boosted tree models.

Declaration

[JsonProperty("colsampleBytree")]
public virtual DoubleHparamSearchSpace ColsampleBytree { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

DartNormalizeType

Dart normalization type for boosted tree models.

Declaration

[JsonProperty("dartNormalizeType")]
public virtual StringHparamSearchSpace DartNormalizeType { get; set; }

Property Value

Type	Description
StringHparamSearchSpace

Dropout

Dropout probability for dnn model training and boosted tree models using dart booster.

Declaration

[JsonProperty("dropout")]
public virtual DoubleHparamSearchSpace Dropout { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

HiddenUnits

Hidden units for neural network models.

Declaration

[JsonProperty("hiddenUnits")]
public virtual IntArrayHparamSearchSpace HiddenUnits { get; set; }

Property Value

Type	Description
IntArrayHparamSearchSpace

L1Reg

L1 regularization coefficient.

Declaration

[JsonProperty("l1Reg")]
public virtual DoubleHparamSearchSpace L1Reg { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

L2Reg

L2 regularization coefficient.

Declaration

[JsonProperty("l2Reg")]
public virtual DoubleHparamSearchSpace L2Reg { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

LearnRate

Learning rate of training jobs.

Declaration

[JsonProperty("learnRate")]
public virtual DoubleHparamSearchSpace LearnRate { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

MaxTreeDepth

Maximum depth of a tree for boosted tree models.

Declaration

[JsonProperty("maxTreeDepth")]
public virtual IntHparamSearchSpace MaxTreeDepth { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

MinSplitLoss

Minimum split loss for boosted tree models.

Declaration

[JsonProperty("minSplitLoss")]
public virtual DoubleHparamSearchSpace MinSplitLoss { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

MinTreeChildWeight

Minimum sum of instance weight needed in a child for boosted tree models.

Declaration

[JsonProperty("minTreeChildWeight")]
public virtual IntHparamSearchSpace MinTreeChildWeight { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

NumClusters

Number of clusters for k-means.

Declaration

[JsonProperty("numClusters")]
public virtual IntHparamSearchSpace NumClusters { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

NumFactors

Number of latent factors to train on.

Declaration

[JsonProperty("numFactors")]
public virtual IntHparamSearchSpace NumFactors { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

NumParallelTree

Number of parallel trees for boosted tree models.

Declaration

[JsonProperty("numParallelTree")]
public virtual IntHparamSearchSpace NumParallelTree { get; set; }

Property Value

Type	Description
IntHparamSearchSpace

Optimizer

Optimizer of TF models.

Declaration

[JsonProperty("optimizer")]
public virtual StringHparamSearchSpace Optimizer { get; set; }

Property Value

Type	Description
StringHparamSearchSpace

Subsample

Subsample the training data to grow tree to prevent overfitting for boosted tree models.

Declaration

[JsonProperty("subsample")]
public virtual DoubleHparamSearchSpace Subsample { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

TreeMethod

Tree construction algorithm for boosted tree models.

Declaration

[JsonProperty("treeMethod")]
public virtual StringHparamSearchSpace TreeMethod { get; set; }

Property Value

Type	Description
StringHparamSearchSpace

WalsAlpha

Hyperparameter for matrix factoration when implicit feedback type is specified.

Declaration

[JsonProperty("walsAlpha")]
public virtual DoubleHparamSearchSpace WalsAlpha { get; set; }

Property Value

Type	Description
DoubleHparamSearchSpace

Implements

IDirectResponseSchema