error with input data format

Hi,

I am getting an error with input data format. I am wondering how that input format of features and label should be. Thanks

>>> pipeline_optimizer.fit(X_train, y_train)
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tpot/base.py", line 1164, in _check_dataset
X, y = check_X_y(features, target, accept_sparse=True, dtype=None)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/utils/validation.py", line 724, in check_X_y
y = column_or_1d(y, warn=True)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/utils/validation.py", line 760, in column_or_1d
raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape (36, 2)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "", line 1, in
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tpot/base.py", line 630, in fit
features, target = self._check_dataset(features, target, sample_weight)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tpot/base.py", line 1177, in _check_dataset
'Error: Input data is not in a valid format. Please confirm '
ValueError: Error: Input data is not in a valid format. Please confirm that the input data is scikit-learn compatible. For example, the features must be a 2-D array and target labels must be a 1-D array.