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In the PDP plugin (similar in symbolic expl), the configspace is copied when creating the surrogate model surrogate_model = RandomForestSurrogate(run.configspace, seed=0)
and also when creating the PDP pdp = PDP.from_random_points(
In rare cases, this copying of the config space can lead to a different index order in the configspace. This is problematic, as we get the index of the selected hyperparameters from the original configspace, but then use it to select the correct index from the data produced by the PDP (with the changed index).
For example, this occurs when using the run logs/SMAC3v1/outlier-detection/DEHB-pendigits-015-0-0 with hyperparameter_name_1="backbone:num_latent_units"
to calculate the PDP.
The text was updated successfully, but these errors were encountered:
In the PDP plugin (similar in symbolic expl), the configspace is copied when creating the surrogate model
surrogate_model = RandomForestSurrogate(run.configspace, seed=0)
and also when creating the PDP
pdp = PDP.from_random_points(
In rare cases, this copying of the config space can lead to a different index order in the configspace. This is problematic, as we get the index of the selected hyperparameters from the original configspace, but then use it to select the correct index from the data produced by the PDP (with the changed index).
For example, this occurs when using the run
logs/SMAC3v1/outlier-detection/DEHB-pendigits-015-0-0
withhyperparameter_name_1="backbone:num_latent_units"
to calculate the PDP.
The text was updated successfully, but these errors were encountered: