Struct HparamSearchSpaces 

pub struct HparamSearchSpaces {

    pub activation_fn: Option<StringHparamSearchSpace>,
    pub batch_size: Option<IntHparamSearchSpace>,
    pub booster_type: Option<StringHparamSearchSpace>,
    pub colsample_bylevel: Option<DoubleHparamSearchSpace>,
    pub colsample_bynode: Option<DoubleHparamSearchSpace>,
    pub colsample_bytree: Option<DoubleHparamSearchSpace>,
    pub dart_normalize_type: Option<StringHparamSearchSpace>,
    pub dropout: Option<DoubleHparamSearchSpace>,
    pub hidden_units: Option<IntArrayHparamSearchSpace>,
    pub l1_reg: Option<DoubleHparamSearchSpace>,
    pub l2_reg: Option<DoubleHparamSearchSpace>,
    pub learn_rate: Option<DoubleHparamSearchSpace>,
    pub max_tree_depth: Option<IntHparamSearchSpace>,
    pub min_split_loss: Option<DoubleHparamSearchSpace>,
    pub min_tree_child_weight: Option<IntHparamSearchSpace>,
    pub num_clusters: Option<IntHparamSearchSpace>,
    pub num_factors: Option<IntHparamSearchSpace>,
    pub num_parallel_tree: Option<IntHparamSearchSpace>,
    pub optimizer: Option<StringHparamSearchSpace>,
    pub subsample: Option<DoubleHparamSearchSpace>,
    pub tree_method: Option<StringHparamSearchSpace>,
    pub wals_alpha: Option<DoubleHparamSearchSpace>,
}

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

This type is not used in any activity, and only used as part of another schema.

Fields

activation_fn: Option<StringHparamSearchSpace>

Activation functions of neural network models.

batch_size: Option<IntHparamSearchSpace>

Mini batch sample size.

booster_type: Option<StringHparamSearchSpace>

Booster type for boosted tree models.

colsample_bylevel: Option<DoubleHparamSearchSpace>

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

colsample_bynode: Option<DoubleHparamSearchSpace>

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

colsample_bytree: Option<DoubleHparamSearchSpace>

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

dart_normalize_type: Option<StringHparamSearchSpace>

Dart normalization type for boosted tree models.

dropout: Option<DoubleHparamSearchSpace>

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

hidden_units: Option<IntArrayHparamSearchSpace>

Hidden units for neural network models.

l1_reg: Option<DoubleHparamSearchSpace>

L1 regularization coefficient.

l2_reg: Option<DoubleHparamSearchSpace>

L2 regularization coefficient.

learn_rate: Option<DoubleHparamSearchSpace>

Learning rate of training jobs.

max_tree_depth: Option<IntHparamSearchSpace>

Maximum depth of a tree for boosted tree models.

min_split_loss: Option<DoubleHparamSearchSpace>

Minimum split loss for boosted tree models.

min_tree_child_weight: Option<IntHparamSearchSpace>

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

num_clusters: Option<IntHparamSearchSpace>

Number of clusters for k-means.

num_factors: Option<IntHparamSearchSpace>

Number of latent factors to train on.

num_parallel_tree: Option<IntHparamSearchSpace>

Number of parallel trees for boosted tree models.

optimizer: Option<StringHparamSearchSpace>

Optimizer of TF models.

subsample: Option<DoubleHparamSearchSpace>

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

tree_method: Option<StringHparamSearchSpace>

Tree construction algorithm for boosted tree models.

wals_alpha: Option<DoubleHparamSearchSpace>

Hyperparameter for matrix factoration when implicit feedback type is specified.

Trait Implementations

impl Clone for HparamSearchSpaces

fn clone(&self) -> HparamSearchSpaces

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for HparamSearchSpaces

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for HparamSearchSpaces

fn default() -> HparamSearchSpaces

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for HparamSearchSpaces

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for HparamSearchSpaces

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for HparamSearchSpaces