We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello,
Thank you so much for a very nice book. I'm running your example 5. LSTM Multivariate Horizon Style.ipynb
but getting an error, when running these chunk of codes
EVALUATION_INTERVAL = 150 EPOCHS = 100 history = lstm_multi.fit(train_data_multi, epochs=EPOCHS,steps_per_epoch=EVALUATION_INTERVAL,validation_data=val_data_multi, validation_steps=50,verbose =1, callbacks =[tf.keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=10, verbose=1, mode='min'),tf.keras.callbacks.ModelCheckpoint(model_path,monitor='val_loss', save_best_only=True, mode='min', verbose=0)])
The error as
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello,
Thank you so much for a very nice book. I'm running your example 5. LSTM Multivariate Horizon Style.ipynb
but getting an error, when running these chunk of codes
EVALUATION_INTERVAL = 150 EPOCHS = 100 history = lstm_multi.fit(train_data_multi, epochs=EPOCHS,steps_per_epoch=EVALUATION_INTERVAL,validation_data=val_data_multi, validation_steps=50,verbose =1, callbacks =[tf.keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=10, verbose=1, mode='min'),tf.keras.callbacks.ModelCheckpoint(model_path,monitor='val_loss', save_best_only=True, mode='min', verbose=0)])
The error as
The text was updated successfully, but these errors were encountered: