12.3 사용자 정의 모델과 훈련 알고리즘 - (1)
Prerequisite from sklearn.datasets import fetch_california_housing from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler housing = fetch_california_housing() X_train_full, X_test, y_train_full, y_test = train_test_split(housing.data, housing.target.reshape(-1, 1), random_state=42) X_train, X_valid, y_train, y_valid = train_test_split(X_train_full, ..
2022. 3. 26.
