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collection of iPython notebooks
The script fails due to incorrect numpy import. Please see attached diff for corrections.
Cheers,
Ben
tf.reset_default_graph()
net = tflearn.input_data(shape=[None, len(train_x[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(train_y[0]), activation='softmax')
net = tflearn.regression(net)
model = tflearn.DNN(net, tensorboard_dir='tflearn_logs')
model.fit(train_x, train_y, n_epoch=1000, batch_size=8, show_metric=True)
model.save('model.tflearn')
Line 108 in 08aa818
Howdy,
Do not expose your API key in your source code.
Instead, consider storing it an environment variable, or using a key management service, or even software such as Vault.
Then be sure to rotate your API key after it is safely stored, or else it may still be recoverable in your commit history.
Also, see Openai's best practices page for api keys for more details:
https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety
ValueError: Generated code has disallowed imports: def solution():
"""02/16/24 + 1 day"""
from datetime import date, timedelta
date_string = "02/16/24"
date_object = datetime.strptime(date_string, "%m/%d/%y")
new_date = date_object + timedelta(days=1)
result = new_date.strftime("%m/%d/%y")
return result
if you give any random text as input for classify class it will classify as a pre defined class rather it throws null or none value
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