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Sarah Krebs
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Add second objective to importance docs and update images
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deepcave/plugins/objective/pareto_front.py

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@@ -137,7 +137,7 @@ def get_input_layout(register: Callable) -> List[Any]:
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[
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dbc.Col(
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[
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dbc.Label("Objective #1"),
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dbc.Label("Objective 1"),
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dbc.Select(
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id=register("objective_id_1", ["value", "options"], type=int),
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placeholder="Select objective ...",
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),
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dbc.Col(
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[
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dbc.Label("Objective #2"),
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dbc.Label("Objective 2"),
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dbc.Select(
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id=register("objective_id_2", ["value", "options"], type=int),
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placeholder="Select objective ...",
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docs/plugins/ablation_paths.rst

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Ablation Paths
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===========
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=============
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Ablation Paths is a method to analyze the importance of hyperparameters in a configuration space.
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Starting from a default configuration, the default configuration is iteratively changed to the
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Options
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-------
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* **Objective**: Select the objective function you wish to analyze.
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* **Objective 1 / 2**: Choose the objective you wish to calculate the ablation path for. Optionally, choose a second objective to see how the importance changes from one objective to the other.
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* **Trees:** Specify the number of trees for the random forest surrogate model used in calculating importance scores.
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docs/plugins/importances.rst

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@@ -52,7 +52,7 @@ see the paper `Hyperparameter Importance Analysis for Multi-Objective AutoML
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Options
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-------
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* **Objective:** Select the objective function you wish to analyze.
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* **Objective 1 / 2**: Choose the objective you wish to calculate the importance for. Optionally, choose a second objective to see how the importance changes from one objective to the other.
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* **Method:** Whether to calculate the local parameter importance or the fANOVA importance.
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docs/plugins/pareto_front.rst

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@@ -21,7 +21,7 @@ This plugin can help answer the following questions:
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Options
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-------
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* **Objective #1 / #2:** Select the objective functions you wish to analyze.
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* **Objective 1 / 2:** Select the objective functions you wish to analyze.
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* **Budget**: Select the multi-fidelity budget to be used. The plugin will only consider trials evaluated
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on the selected budget. The *Combined* budget option displays all configurations but shows scores only

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