人間の脳の神経回路を模した計算モデルで、入力から出力までをつなぐ「層」の集まりで構成される。
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import accuracy_score
X, y = load_digits(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
clf = MLPClassifier(hidden_layer_sizes=(100, 50), max_iter=300, random_state=42)
clf.fit(X_train, y_train)
y_pred = clf.predict(X_test)
print("Accuracy:", accuracy_score(y_test, y_pred))
$ python3 mlp.py
Accuracy: 0.9666666666666667
