Found input variables with inconsistent numbers

[shaoweiwang]

Hello @WillKoehrsen, thanks for your magic functions.
However, I tried to follow the tutorial for my CSV file for a regression learning, and in the end I received a message. Here are the codes:

` file_name = 'GYT_0.csv'
train = pd.read_csv(io.StringIO(uploaded[file_name].decode('ISO-8859-1')),sep=';')
train_labels = ['Delaitotal']
train = train.drop(columns = ['Delaitotal'])

fs = FeatureSelector(data = train, labels = train_labels)
fs.identify_zero_importance(task = 'regression',eval_metric = 'l2') `

Here is the message:

Training Gradient Boosting Model

---

ValueError Traceback (most recent call last)
in ()
1
2
----> 3 fs.identify_zero_importance(task = 'regression',eval_metric = 'l2')
4
5

/content/feature_selector.py in identify_zero_importance(self, task, eval_metric, n_iterations, early_stopping)
304 if early_stopping:
305
--> 306 train_features, valid_features, train_labels, valid_labels = train_test_split(features, labels, test_size = 0.15)
307
308 # Train the model with early stopping

/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_split.py in train_test_split(*arrays, **options)
2029 test_size = 0.25
2030
-> 2031 arrays = indexable(*arrays)
2032
2033 if shuffle is False:

/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py in indexable(*iterables)
227 else:
228 result.append(np.array(X))
--> 229 check_consistent_length(*result)
230 return result
231

/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py in check_consistent_length(*arrays)
202 if len(uniques) > 1:
203 raise ValueError("Found input variables with inconsistent numbers of"
--> 204 " samples: %r" % [int(l) for l in lengths])
205
206

ValueError: Found input variables with inconsistent numbers of samples: [25446, 1]

Environment: Google colab
Python version: 3.6.3

Thank you in advance.

[WillKoehrsen]

Did you figure out what the error was? If so, it might be helpful to post the solution here for others!

[shaoweiwang]

As a matter of fact, there was an error in my code:

train_labels = ['Delaitotal'] should be train_labels = train['Delaitotal']

And problem solved.

[WillKoehrsen]

I am glad you were able to figure out the problem!