tpcp 0.9.0 documentation

  • Getting Started
  • User Guides
  • API Reference
  • Examples
  • Changelog
  • Dataset
    • tpcp .Dataset
  • Parameter and Custom Objects
    • tpcp.HyperParameter
    • tpcp.HyperPara
    • tpcp.OptimizableParameter
    • tpcp.OptiPara
    • tpcp.PureParameter
    • tpcp.PurePara
    • tpcp.Parameter
    • tpcp.Para
    • tpcp.clone
    • tpcp.cf
    • tpcp.BaseTpcpObject
    • tpcp.CloneFactory
    • tpcp.BaseFactory
  • Custom Algorithms and Pipelines
    • tpcp .Algorithm
    • tpcp .Pipeline
    • tpcp .OptimizablePipeline
    • tpcp.make_action_safe
    • tpcp.make_optimize_safe
    • tpcp.get_param_names
    • tpcp.get_action_params
    • tpcp.get_results
  • Parameter Optimization
    • tpcp.optimize .Optimize
    • tpcp.optimize .GridSearch
    • tpcp.optimize .GridSearchCV
    • tpcp.optimize .DummyOptimize
    • tpcp.optimize .BaseOptimize
    • tpcp.optimize.optuna .CustomOptunaOptimize
  • Validation and Scoring
    • tpcp.validate .Scorer
    • tpcp.validate .Aggregator
    • tpcp.validate .MeanAggregator
    • tpcp.validate .NoAgg
    • tpcp.validate.cross_validate
On this page
  • Examples using tpcp.cf

tpcp.cf#

tpcp.cf(default_value: T) → T[source]#

Wrap mutable default value with the CloneFactory.

This is basically an alias for CloneFactory

Examples using tpcp.cf#

Grid Search optimal Algorithm Parameter

Grid Search optimal Algorithm Parameter

Grid Search optimal Algorithm Parameter
Optimizable Pipelines

Optimizable Pipelines

Optimizable Pipelines
GridSearchCV

GridSearchCV

GridSearchCV
Custom Optuna Optimizer

Custom Optuna Optimizer

Custom Optuna Optimizer
Cross Validation

Cross Validation

Cross Validation
Custom Scorer

Custom Scorer

Custom Scorer
Dataclasses support

Dataclasses support

Dataclasses support

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