| create_studyC | Create a new Optuna study with the given study_name and directions. If the study already exists, it will be simply loaded.
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| get_all_study_namesC | Get all study names from the storage. |
| askC | Suggest new parameters using Optuna search_space must be a string that can be evaluated to a dictionary to specify Optuna's distributions.
Example:
{"x": {"name": "FloatDistribution", "attributes": {"step": null, "low": -10.0, "high": 10.0, "log": false}}}
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| tellC | Report the result of a trial |
| set_samplerA | Set the sampler for the study.
The sampler must be one of the following:
- TPESampler
- NSGAIISampler
- RandomSampler
- GPSampler The default sampler for single-objective optimization is TPESampler.
The default sampler for multi-objective optimization is NSGAIISampler.
GPSampler is a Gaussian process-based sampler suitable for low-dimensional numerical optimization problems.
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| set_trial_user_attrC | Set user attributes for a trial |
| get_trial_user_attrsC | Get user attributes in a trial |
| set_metric_namesB | Set metric_names. metric_names are labels used to distinguish what each objective value is. Args:
metric_names:
The list of metric name for each objective value.
The length of metric_names list must be the same with the number of objectives.
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| get_metric_namesD | |
| get_directionsC | Get the directions of the study. |
| get_trialsA | Get all trials in a CSV format |
| best_trialA | Get the best trial This feature can only be used for single-objective optimization. If your study is multi-objective, use best_trials instead.
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| best_trialsA | Return trials located at the Pareto front in the study. |
| add_trialC | Add a trial to the study. |
| add_trialsC | Add multiple trials to the study. |
| plot_optimization_historyA | Return the optimization history plot as an image. Args:
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
For single-objective optimization, None (auto) is recommended.
For multi-objective optimization, this must be specified.
target_name:
Target's name to display on the axis label and the legend.
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| plot_hypervolume_historyC | Return the hypervolume history plot as an image. Args:
reference_point:
A list of reference points to calculate the hypervolume.
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| plot_pareto_frontA | Return the Pareto front plot as an image for multi-objective optimization. Args:
target_names:
Objective name list used as the axis titles. If :obj:`None` is specified,
"Objective {objective_index}" is used instead. If ``targets`` is specified
for a study that does not contain any completed trial,
``target_name`` must be specified.
include_dominated_trials:
A flag to include all dominated trial's objective values.
targets:
A list of indices to specify the objective values to display.
Note that this is 0-indexed, i.e., to plot the first and second objective value, set this to [0, 1].
If the number of objectives is neither 2 nor 3, ``targets`` must be specified.
By default, all objectives are displayed.
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| plot_contourB | Return the contour plot as an image. Args:
params:
Parameter list to visualize. The default is all parameters.
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
target_name:
Target’s name to display on the color bar.
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| plot_parallel_coordinateB | Return the parallel coordinate plot as an image. Args:
params:
Parameter list to visualize. The default is all parameters.
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
target_name:
Target’s name to display on the axis label and the legend.
|
| plot_sliceC | Return the slice plot as an image. Args:
params:
Parameter list to visualize. The default is all parameters.
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
target_name:
Target’s name to display on the axis label.
|
| plot_param_importancesA | Return the parameter importances plot as an image. Args:
params:
Parameter list to visualize. The default is all parameters.
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
By default, all objective will be plotted by setting target to None.
target_name:
Target’s name to display on the legend.
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| plot_edfC | Return the EDF plot as an image. Args:
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
target_name:
Target’s name to display on the axis label.
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| plot_timelineB | Return the timeline plot as an image. |
| plot_rankA | Return the rank plot as an image. Args:
params:
Parameter list to visualize. The default is all parameters.
target:
An index to specify the value to display. To plot nth objective value, set this to n.
Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
target_name:
Target’s name to display on the color bar.
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| launch_optuna_dashboardC | Launch the Optuna dashboard |
