Create a subset SFrame by filtering a bigger SFrame
Filter using a single string
dogs_SFrame = image_training_SFrame.filter_by(values="dog", column_name="label", exclude=False)
print(dogs_SFrame["label"][0:15])
['dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog', 'dog']
Filter using an array of strings
animals = ["dog", "cat", "bird"]
animals_SFrame = image_training_SFrame.filter_by(values=animals, column_name='label', exclude=False)
print(animals_SFrame["label"][0:15])
['bird', 'cat', 'cat', 'dog', 'bird', 'dog', 'bird', 'bird', 'cat', 'dog', 'cat', 'bird', 'cat', 'cat', 'dog']
Example:
training_sframes = {}
for label in unique_labels:
#print (label)
training_sframes[label] = image_training_SFrame.filter_by(
values = label,
column_name = "label",
exclude = False)
for key_name in training_sframes: # dictionary training_sframes
print(key_name)