hyperparameter_tuner

Hyperparameter Tuner

Description

Optimize model hyperparameters

When to Use

After initial model training

Workflow

1. Define search space\n2. Choose strategy\n3. Search\n4. Validate

Tools Used

sklearn

Examples

from src.skills.machine_learning.hyperparameter_tuner import Skill

skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))

Best Practices

Use random search before grid search