This repository was archived by the owner on Feb 28, 2024. It is now read-only.
This repository was archived by the owner on Feb 28, 2024. It is now read-only.
list of numeric categories of length 2 is considered as Real or Integer dimensions #1064
Description
In skopt.Optimizer docs it said:
- a (lower_bound, upper_bound) tuple (for Real or Integer dimensions) ...
- as a list of categories (for Categorical dimensions) ...
however a list of length 2 is considered the same as a tuple.
a reproduceable example:
from skopt import BayesSearchCV
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier
X, y = load_iris(return_X_y=True)
searchcv = BayesSearchCV(
RandomForestClassifier(),
search_spaces={'n_estimators': [250, 500], 'max_features': (0.3, 0.95, 'uniform')},
n_iter=10,
cv=5,
scoring='f1_macro',
random_state=42
)
searchcv.fit(X, y)
print(searchcv.cv_results_['param_n_estimators'])
it shows that the optimizer tries many values between 250 and 500 and not just both values.