A column-vector y was passed when a 1d array was expected

Question

I need to fit RandomForestRegressor from sklearn.ensemble.

forest = ensemble.RandomForestRegressor(**RF_tuned_parameters)
model = fo         


        

Answer 1

With neuraxle, you can easily solve this :

p = Pipeline([
   # expected outputs shape: (n, 1)
   OutputTransformerWrapper(NumpyRavel()), 
   # expected outputs shape: (n, )
   RandomForestRegressor(**RF_tuned_parameters)
])

p, outputs = p.fit_transform(data_inputs, expected_outputs)

Neuraxle is a sklearn-like framework for hyperparameter tuning and AutoML in deep learning projects !

Answer 2

format_train_y=[]
for n in train_y:
    format_train_y.append(n[0])

Answer 3

Y = y.values[:,0]

Y - formated_train_y

y - train_y

Answer 4

I also encountered this situation when I was trying to train a KNN classifier. but it seems that the warning was gone after I changed:
knn.fit(X_train,y_train)
to
knn.fit(X_train, np.ravel(y_train,order='C'))

Ahead of this line I used import numpy as np.

Answer 5

Another way of doing this is to use ravel

model = forest.fit(train_fold, train_y.values.reshape(-1,))

Answer 6

use below code:

model = forest.fit(train_fold, train_y.ravel())

if you are still getting slap by error as identical as below ?

Unknown label type: %r" % y

use this code:

y = train_y.ravel()
train_y = np.array(y).astype(int)
model = forest.fit(train_fold, train_y)