Код: Выделить всё
# STEP 1.1
!git clone https://github.com/sorki/python-mnist
!./python-mnist/bin/mnist_get_data.sh
%pip install emnist
from emnist import extract_training_samples
print("Imported the EMNIST libraries we need!")
# STEP 1.2
# Grab the data from the OpenML website
# X will be our images and y will be the labels
X, y = extract_training_samples('letters')
# Make sure that every pixel in all of the images is a value between 0 and 1
X = X / 255.
# Use the first 60000 instances as training and the next 10000 as testing
X_train, X_test = X[:60000], X[60000:70000]
y_train, y_test = y[:60000], y[60000:70000]
# There is one other thing we need to do, we need to
# record the number of samples in each dataset and the number of pixels in each image
X_train = X_train.reshape(60000,784)
X_test = X_test.reshape(10000,784)
print("Extracted our samples and divided our training and testing data sets")
Код: Выделить всё
BadZipFile Traceback (most recent call last)
Cell In[2], line 5
1 # STEP 1.2
2
3 # Grab the data from the OpenML website
4 # X will be our images and y will be the labels
----> 5 X, y = extract_training_samples('letters')
7 # Make sure that every pixel in all of the images is a value between 0 and 1
8 X = X / 255.
File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/emnist/__init__.py:209, in extract_training_samples(dataset)
206 def extract_training_samples(dataset):
207 """Extract the training samples for a given dataset as a pair of numpy arrays, (images, labels). The dataset must be
208 one of those listed by list_datasets(), e.g. 'digits' or 'mnist'."""
--> 209 return extract_samples(dataset, 'train')
File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/emnist/__init__.py:199, in extract_samples(dataset, usage)
196 def extract_samples(dataset, usage):
197 """Extract the samples for a given dataset and usage as a pair of numpy arrays, (images, labels). The dataset must
198 be one of those listed by list_datasets(), e.g. 'digits' or 'mnist'. Usage should be either 'train' or 'test'."""
--> 199 images = extract_data(dataset, usage, 'images')
200 labels = extract_data(dataset, usage, 'labels')
201 if len(images) != len(labels):
...
-> 1369 raise BadZipFile("File is not a zip file")
1370 if self.debug > 1:
1371 print(endrec)
BadZipFile: File is not a zip file
Подробнее здесь: https://stackoverflow.com/questions/787 ... -importing