AttributeError: 'numpy.ndarray' object has no attribute 'iloc'

Question

I am trying to combine two machine learning algorithm using stacking to achieve greater results but am failing in some of the aspects. Here's my code:

class Ensemble(threading.Thread): "Stacking with three Classification Models to improve the accuracy of Predictions" def init(self, X, Y, XT, YT, accLabel=None): threading.Thread.init(self) self.X = X self.Y = Y self.XT=XT self.YT=YT self.accLabel= accLabel

def Stacking(self,model,n_fold,train,test,y):

    folds=StratifiedKFold(n_splits=n_fold,random_state=1)
    test_pred=np.empty((test.shape[0],1),float)
    train_pred=np.empty((0,1),float)
    for train_indices,val_indices in folds.split(train,y):
        x_train,x_val=train.iloc[train_indices],train.iloc[val_indices]
        y_train,y_val=y.iloc[train_indices],y.iloc[val_indices]

        model.fit(X=x_train,y=y_train)
        train_pred=np.append(train_pred,model.predict(x_val))
        test_pred=np.append(test_pred,model.predict(test))
    return test_pred.reshape(-1,1),train_pred   

def run(self):
    X = np.zeros(self.X.shape)
    Y = np.zeros(self.Y.shape)
    XT = np.zeros(self.XT.shape)
    YT = np.zeros(self.YT.shape)
    np.copyto(X, self.X)
    np.copyto(Y, self.Y)
    np.copyto(XT, self.XT)
    np.copyto(YT, self.YT)

    model1 = tree.DecisionTreeClassifier(random_state=1)
    n_fold=4
    test_pred1 ,train_pred1=self.Stacking(model1, n_fold, X, XT, Y)
    train_pred1=pd.DataFrame(train_pred1)
    test_pred1=pd.DataFrame(test_pred1)

    model2 = KNeighborsClassifier()
    test_pred2 ,train_pred2=self.Stacking(model2, n_fold, X, XT, Y)
    train_pred2=pd.DataFrame(train_pred2)
    test_pred2=pd.DataFrame(test_pred2)

    df = pd.concat([train_pred1, train_pred2], axis=1)
    df_test = pd.concat([test_pred1, test_pred2], axis=1)
    model = LogisticRegression(random_state=1)
    model.fit(df,Y)
    sd = model.score(df_test, YT)
    acc = (sum(sd == YT) / len(YT) * 100)
    print("Accuracy of Ensemble Learning Model is : %.2f" % acc+' %')
    print('=' * 100)
    if self.accLabel: self.accLabel.set("Accuracy of Ensembelance Learning: %.2f" % (acc)+' %')

The error is in 'iloc' inside Stacking method.

I have been constantly getting the error of np.ndarray has no attribute 'iloc'. I tried to search but couldn't find any specific link though I think this has something to do with iloc belonging to np.ndarray. If someone could please help me with this!!

.iloc is a Pandas dataframe method. Both X and Y are just numpy arrays when you pass them into Stacking() so you cant call iloc on them — Simon
– Simon, Commented Nov 7, 2018 at 4:28
iloc is a pandas dataframe attribute. It means nothing in numpy. When you get an AttributeError don't just keep trying again. Check the type of the object, and check its docs. Most likely the object at that point is not what you intended it to be. — hpaulj
– hpaulj, Commented Nov 7, 2018 at 4:28

Franco Piccolo · Accepted Answer · 2018-11-07 07:12:57Z

22

As the comments suggest, .iloc is a Pandas dataframe method.

To filter a numpy array you just need: array[indices]

In your case:

x_train,x_val=train[train_indices],train[val_indices]
y_train,y_val=y[train_indices],y[val_indices]

answered Nov 7, 2018 at 7:12

Franco Piccolo

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