Search Space
The sklearn_genetic.space module provides three dimension types for defining the hyperparameter search space.
Integer
Samples integer values from a range [lower, upper].
python
from sklearn_genetic.space import Integer
Integer(lower, upper, distribution="uniform")| Parameter | Type | Default | Description |
|---|---|---|---|
lower | int | — | Minimum value (inclusive) |
upper | int | — | Maximum value (inclusive) |
distribution | str | "uniform" | Sampling distribution: "uniform" |
Example:
python
"n_estimators": Integer(50, 500),
"max_depth": Integer(1, 20),Continuous
Samples floating-point values from a range [lower, upper].
python
from sklearn_genetic.space import Continuous
Continuous(lower, upper, distribution="uniform")| Parameter | Type | Default | Description |
|---|---|---|---|
lower | float | — | Minimum value |
upper | float | — | Maximum value |
distribution | str | "uniform" | Sampling distribution: "uniform" or "log-uniform" |
Use distribution="log-uniform" for parameters that span orders of magnitude (learning rates, regularization strengths):
python
"learning_rate": Continuous(1e-4, 1e-1, distribution="log-uniform"),
"alpha": Continuous(1e-6, 1.0, distribution="log-uniform"),Categorical
Samples from a fixed list of choices.
python
from sklearn_genetic.space import Categorical
Categorical(choices)| Parameter | Type | Default | Description |
|---|---|---|---|
choices | list | — | List of valid values. Can include None |
Example:
python
"max_features": Categorical(["sqrt", "log2", None]),
"solver": Categorical(["lbfgs", "sgd", "adam"]),
"activation": Categorical(["relu", "tanh", "logistic"]),Complete Example
python
from sklearn_genetic.space import Categorical, Continuous, Integer
param_grid = {
"n_estimators": Integer(50, 300),
"max_depth": Integer(2, 15),
"learning_rate": Continuous(0.01, 0.3, distribution="log-uniform"),
"subsample": Continuous(0.5, 1.0),
"max_features": Categorical(["sqrt", "log2"]),
"min_samples_leaf": Integer(1, 20),
}See Also
- Basic Usage — tutorial using all three dimension types
- GASearchCV — the search estimator that consumes
param_grid