python - 找到昏暗的数组 3. Estimator expected <= 2 解决它

Question

我想将多输入提供给 sklearn 模型。

  x = np.array(Disease_symptoms[['Symptom_1','Symptom_2','Symptom_3']])
  y = np.array(Disease_symptoms['Precaution'])
  print(x.shape ,"--", x.ndim)
  cv = CountVectorizer(
    stop_words='english',
    ngram_range=(1, 1),
    dtype='double')
  treeclf = DecisionTreeClassifier()

  X_train , X_test , Y_train , Y_test = train_test_split(X , y , test_size=0.2 )
  treeclf.fit(X_train , Y_train)

  problem1 = 'itch'
  problem2 = 'skinrash'
  problem3 = 'dischromicpatch'

  vectors1 = cv.fit_transform([problem1]).toarray()
  vectors2 = cv.fit_transform([problem2]).toarray()
  vectors3 = cv.fit_transform([problem3]).toarray()
  # vect = 
  treeclf.predict([vectors1 , vectors2 , vectors3])

但是当尝试上面的代码时，我得到了一个错误：

  Found array with dim 3. Estimator expected <= 2