sklearn 細節 —— SGDClassifier、Perceptron（分類模型）

• Perceptron

  iris_data = load_iris()
  X = iris_data.data[:, (2, 3)]
  y = (iris_data.target == 0).astype(np.int)
  perp_clf = Perceptron()
  perp_clf.fit(X, y)
  
  print(perp_clf.predict(np.asarray([2, .5]).reshape(-1, 2)))
  

1. 線性分類

• SGDClassifier 基本訓練：

  from sklearn.linear_model import SGDClassifier
  clf = SGDClassifier()
  clf.fit(train_data, train_labels)
  train_predications = clf.predict(train_data)
  

  • 混淆矩陣：

    from sklern.metrics import classification_report, confusion_matrix
    print('', classification_report(train_labels, train_predications))
    print('', confusion_matrix(train_labels, train_predications))