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gptkbp:instanceOf
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gptkb:software
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|
gptkbp:author
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James Bergstra
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gptkbp:documentation
|
https://hyperopt.github.io/hyperopt/
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gptkbp:feature
|
parallel execution
MongoDB-based distributed optimization
search space definition
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|
gptkbp:firstReleased
|
2013
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|
https://www.w3.org/2000/01/rdf-schema#label
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Hyperopt
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gptkbp:latestReleaseVersion
|
2023-10-10
0.2.7
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gptkbp:license
|
gptkb:BSD_License
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gptkbp:npmPackage
|
gptkb:hyperopt
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gptkbp:optimizedFor
|
gptkb:Keras_models
scikit-learn models
custom Python functions
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gptkbp:programmingLanguage
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gptkb:Python
|
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gptkbp:relatedTo
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gptkb:Optuna
gptkb:Ray_Tune
scikit-optimize
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gptkbp:repository
|
https://github.com/hyperopt/hyperopt
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gptkbp:supportsAlgorithm
|
random search
Tree-structured Parzen Estimator
adaptive TPE
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gptkbp:usedFor
|
hyperparameter optimization
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gptkbp:bfsParent
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gptkb:ParamILS
gptkb:Bayesian_Optimization_Algorithm
gptkb:Bayesian_Optimization
gptkb:Databricks_Runtime_11.2_ML
gptkb:Databricks_Runtime_12.x_ML
gptkb:Databricks_Runtime_13.x_ML
gptkb:Databricks_Runtime_14.x_ML
gptkb:Databricks_Runtime_15.x_ML
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|
gptkbp:bfsLayer
|
8
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