View Source GoogleApi.BigQuery.V2.Model.HparamSearchSpaces (google_api_big_query v0.86.1)
Hyperparameter search spaces. These should be a subset of training_options.
Attributes
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activationFn(type:GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t, default:nil) - Activation functions of neural network models. -
batchSize(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Mini batch sample size. -
boosterType(type:GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t, default:nil) - Booster type for boosted tree models. -
colsampleBylevel(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Subsample ratio of columns for each level for boosted tree models. -
colsampleBynode(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Subsample ratio of columns for each node(split) for boosted tree models. -
colsampleBytree(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Subsample ratio of columns when constructing each tree for boosted tree models. -
dartNormalizeType(type:GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t, default:nil) - Dart normalization type for boosted tree models. -
dropout(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Dropout probability for dnn model training and boosted tree models using dart booster. -
hiddenUnits(type:GoogleApi.BigQuery.V2.Model.IntArrayHparamSearchSpace.t, default:nil) - Hidden units for neural network models. -
l1Reg(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - L1 regularization coefficient. -
l2Reg(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - L2 regularization coefficient. -
learnRate(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Learning rate of training jobs. -
maxTreeDepth(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Maximum depth of a tree for boosted tree models. -
minSplitLoss(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Minimum split loss for boosted tree models. -
minTreeChildWeight(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Minimum sum of instance weight needed in a child for boosted tree models. -
numClusters(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Number of clusters for k-means. -
numFactors(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Number of latent factors to train on. -
numParallelTree(type:GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t, default:nil) - Number of parallel trees for boosted tree models. -
optimizer(type:GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t, default:nil) - Optimizer of TF models. -
subsample(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Subsample the training data to grow tree to prevent overfitting for boosted tree models. -
treeMethod(type:GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t, default:nil) - Tree construction algorithm for boosted tree models. -
walsAlpha(type:GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t, default:nil) - Hyperparameter for matrix factoration when implicit feedback type is specified.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.BigQuery.V2.Model.HparamSearchSpaces{ activationFn: GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t() | nil, batchSize: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, boosterType: GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t() | nil, colsampleBylevel: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, colsampleBynode: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, colsampleBytree: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, dartNormalizeType: GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t() | nil, dropout: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, hiddenUnits: GoogleApi.BigQuery.V2.Model.IntArrayHparamSearchSpace.t() | nil, l1Reg: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, l2Reg: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, learnRate: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, maxTreeDepth: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, minSplitLoss: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, minTreeChildWeight: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, numClusters: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, numFactors: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, numParallelTree: GoogleApi.BigQuery.V2.Model.IntHparamSearchSpace.t() | nil, optimizer: GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t() | nil, subsample: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil, treeMethod: GoogleApi.BigQuery.V2.Model.StringHparamSearchSpace.t() | nil, walsAlpha: GoogleApi.BigQuery.V2.Model.DoubleHparamSearchSpace.t() | nil }
Functions
Unwrap a decoded JSON object into its complex fields.