I attempt to solve this problem 6 in this notebook. The question is to train a simple model on this data using 50, 100, 1000 and 5000 training samples by using the LogisticRegression model from sklearn.linear_model. https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/udacity/1_notmnist.ipynb
lr = LogisticRegression() lr.fit(train_dataset,train_labels)
This is the code i trying to do and it give me the error. ValueError: Found array with dim 3. Estimator expected
Any idea?