from sklearn.model_selection import RandomizedSearchCV
from scipy.stats import uniform, loguniform

# Define parameter distributions
param_dist = {
    'alpha': loguniform(1e-6, 1e-1),
    'loss': ['hinge', 'log_loss', 'modified_huber'],
    'penalty': ['l1', 'l2', 'elasticnet'],
    'learning_rate': ['optimal', 'constant', 'adaptive']
}

# Perform randomized search
random_search = RandomizedSearchCV(
    SGDClassifier(max_iter=1000),
    param_distributions=param_dist,
    n_iter=50,
    cv=5,
    random_state=42
)

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