from joblib import dump
from scipy.stats import loguniform
from sklearn.datasets import load_iris
from sklearn.model_selection import RandomizedSearchCV, StratifiedKFold, train_test_split
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC


X, y = load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(
    X,
    y,
    test_size=0.25,
    stratify=y,
    random_state=42,
)

pipeline = Pipeline(
    [
        ("scaler", StandardScaler()),
        ("svc", SVC()),
    ]
)