autogl.module.hpo
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class
autogl.module.hpo.
AnnealAdvisorHPO
(*args, **kwargs)[source] Simulate anneal algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
AutoNE
(*args, **kwargs)[source] AutoNE HPOptimizer The Implementation of “AutoNE: Hyperparameter Optimization for Massive Network Embedding”(KDD 2019). See https://github.com/tadpole/AutoNE for more information
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max_evals
int – The max rounds of evaluating HPs
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subgraphs
int – The number of subgraphs
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sub_evals
int – The number of evaluation times on each subgraph
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sample_batch_size, sample_walk_length
int – Using for sampling subgraph, see torch_geometric.data.GraphSAINRandomWalkSampler
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class
autogl.module.hpo.
BayesAdvisor
(*args, **kwargs)[source] Bayes algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
CmaesAdvisorChoco
(*args, **kwargs)[source] CMAES algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
GridAdvisor
(*args, **kwargs)[source] Grid search algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
MocmaesAdvisorChoco
(args)[source] MOCMAES algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
QuasiAdvisorChoco
(*args, **kwargs)[source] Quasi random search algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
RandAdvisor
(*args, **kwargs)[source] Random search algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information
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class
autogl.module.hpo.
TpeAdvisorHPO
(*args, **kwargs)[source] TPE algorithm in advisor package See https://github.com/tobegit3hub/advisor for the package See .advisorbase.AdvisorBaseHPOptimizer for more information