From 070dbbd03261942d32af97e8223437a3c513c5a2 Mon Sep 17 00:00:00 2001 From: Yoshihiko Ozaki <30489874+y0z@users.noreply.github.com> Date: Wed, 11 Dec 2024 17:00:19 +0900 Subject: [PATCH] Update package/samplers/smac_sampler/README.md Co-authored-by: Naoto Mizuno --- package/samplers/smac_sampler/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/package/samplers/smac_sampler/README.md b/package/samplers/smac_sampler/README.md index ec5953d8..f0d6b359 100644 --- a/package/samplers/smac_sampler/README.md +++ b/package/samplers/smac_sampler/README.md @@ -27,7 +27,7 @@ Please check the API reference for more details: - `surrogate_model_rf_ratio_features`: The ratio of features to use for each tree training in random forest. Equivalent to `max_features` in `RandomForestRegressor` in sklearn. - `surrogate_model_rf_min_samples_split`: The minimum number of samples required to split an internal node: Equivalent to `min_samples_split` in `RandomForestRegressor` in sklearn. - `surrogate_model_rf_min_samples_leaf`: The minimum number of samples required to be at a leaf node. A split point at any depth will only be considered if it leaves at least `min_samples_leaf` training samples in each of the left and right branches. This may have the effect of smoothing the model, especially in regression. Equivalent to `min_samples_leaf` in `RandomForestRegressor` in sklearn. - `init_design_n_configs`: Number of initial configurations. +- `init_design_n_configs`: Number of initial configurations. `init_design_n_configs_per_hyperparameter`: Number of initial configurations per hyperparameter. For example, if my configuration space covers five hyperparameters and `n_configs_per_hyperparameter` is set to 10, then 50 initial configurations will be sampled. `init_design_max_ratio`: Use at most `n_trials * init_design_max_ratio` number of configurations in the initial design. Additional configurations are not affected by this parameter. `output_directy` : `Path`, defaults to `Path("smac3_output")`. The directory in which to save the output. The files are saved in `./output_directory/name/seed`.