HparamSearchSpaces class

Hyperparameter search spaces.

These should be a subset of training_options.

Constructors

HparamSearchSpaces({StringHparamSearchSpace? activationFn, IntHparamSearchSpace? batchSize, StringHparamSearchSpace? boosterType, DoubleHparamSearchSpace? colsampleBylevel, DoubleHparamSearchSpace? colsampleBynode, DoubleHparamSearchSpace? colsampleBytree, StringHparamSearchSpace? dartNormalizeType, DoubleHparamSearchSpace? dropout, IntArrayHparamSearchSpace? hiddenUnits, DoubleHparamSearchSpace? l1Reg, DoubleHparamSearchSpace? l2Reg, DoubleHparamSearchSpace? learnRate, IntHparamSearchSpace? maxTreeDepth, DoubleHparamSearchSpace? minSplitLoss, IntHparamSearchSpace? minTreeChildWeight, IntHparamSearchSpace? numClusters, IntHparamSearchSpace? numFactors, IntHparamSearchSpace? numParallelTree, StringHparamSearchSpace? optimizer, DoubleHparamSearchSpace? subsample, StringHparamSearchSpace? treeMethod, DoubleHparamSearchSpace? walsAlpha})

HparamSearchSpaces.fromJson(Map json_)

Properties

activationFn ↔ StringHparamSearchSpace?

Activation functions of neural network models.

getter/setter pair

batchSize ↔ IntHparamSearchSpace?

Mini batch sample size.

getter/setter pair

boosterType ↔ StringHparamSearchSpace?

Booster type for boosted tree models.

getter/setter pair

colsampleBylevel ↔ DoubleHparamSearchSpace?

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

getter/setter pair

colsampleBynode ↔ DoubleHparamSearchSpace?

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

getter/setter pair

colsampleBytree ↔ DoubleHparamSearchSpace?

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

getter/setter pair

dartNormalizeType ↔ StringHparamSearchSpace?

Dart normalization type for boosted tree models.

getter/setter pair

dropout ↔ DoubleHparamSearchSpace?

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

getter/setter pair

hashCode → int

The hash code for this object.

no setter, inherited

hiddenUnits ↔ IntArrayHparamSearchSpace?

Hidden units for neural network models.

getter/setter pair

l1Reg ↔ DoubleHparamSearchSpace?

L1 regularization coefficient.

getter/setter pair

l2Reg ↔ DoubleHparamSearchSpace?

L2 regularization coefficient.

getter/setter pair

learnRate ↔ DoubleHparamSearchSpace?

Learning rate of training jobs.

getter/setter pair

maxTreeDepth ↔ IntHparamSearchSpace?

Maximum depth of a tree for boosted tree models.

getter/setter pair

minSplitLoss ↔ DoubleHparamSearchSpace?

Minimum split loss for boosted tree models.

getter/setter pair

minTreeChildWeight ↔ IntHparamSearchSpace?

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

getter/setter pair

numClusters ↔ IntHparamSearchSpace?

Number of clusters for k-means.

getter/setter pair

numFactors ↔ IntHparamSearchSpace?

Number of latent factors to train on.

getter/setter pair

numParallelTree ↔ IntHparamSearchSpace?

Number of parallel trees for boosted tree models.

getter/setter pair

optimizer ↔ StringHparamSearchSpace?

Optimizer of TF models.

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

subsample ↔ DoubleHparamSearchSpace?

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

getter/setter pair

treeMethod ↔ StringHparamSearchSpace?

Tree construction algorithm for boosted tree models.

getter/setter pair

walsAlpha ↔ DoubleHparamSearchSpace?

Hyperparameter for matrix factoration when implicit feedback type is specified.

getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toJson() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited