import numpy as np
from sklearn.base import BaseEstimator

class Dummy(BaseEstimator):
    def __init__(self, k):
        self.k = k
    def fit(self, X, y):
        pass
    def predict(self, X):
        return self.k * np.ones(X.shape[0])

X = np.random.randn(5, 4)  # date random
y = np.random.randn(5)  # etichete random

dummy = Dummy(k=42)

dummy.fit(X, y)  # nu face nimic
dummy.predict(X)  # returneaza cate un 42 pt fiecare linie din X