Saving and loading keras.callbacks.History object with np.save and np.load
$begingroup$
I have been saving my training history in keras as follows:
history = model.fit(X_train, Y_train, epochs=700, batch_size=128,validation_data=(X_cv, Y_cv))
np.save('./history_sim#', history)
I am then trying to load the training history from the various simulations in order to print figures like loss vs. epoch, etc. as follows:
history = np.load('history_sim#.npy')
When I try to load the training history, I am receiving the following error message:
"ValueError: Unknown metric function:precision"
I am very worried that I have lost all of the training history now. Training takes several days and I am on a bit of a time crunch. Is the data lost or is there some way to get the data from the .npy file where I have saved it?
machine-learning python neural-network deep-learning keras
$endgroup$
add a comment |
$begingroup$
I have been saving my training history in keras as follows:
history = model.fit(X_train, Y_train, epochs=700, batch_size=128,validation_data=(X_cv, Y_cv))
np.save('./history_sim#', history)
I am then trying to load the training history from the various simulations in order to print figures like loss vs. epoch, etc. as follows:
history = np.load('history_sim#.npy')
When I try to load the training history, I am receiving the following error message:
"ValueError: Unknown metric function:precision"
I am very worried that I have lost all of the training history now. Training takes several days and I am on a bit of a time crunch. Is the data lost or is there some way to get the data from the .npy file where I have saved it?
machine-learning python neural-network deep-learning keras
$endgroup$
add a comment |
$begingroup$
I have been saving my training history in keras as follows:
history = model.fit(X_train, Y_train, epochs=700, batch_size=128,validation_data=(X_cv, Y_cv))
np.save('./history_sim#', history)
I am then trying to load the training history from the various simulations in order to print figures like loss vs. epoch, etc. as follows:
history = np.load('history_sim#.npy')
When I try to load the training history, I am receiving the following error message:
"ValueError: Unknown metric function:precision"
I am very worried that I have lost all of the training history now. Training takes several days and I am on a bit of a time crunch. Is the data lost or is there some way to get the data from the .npy file where I have saved it?
machine-learning python neural-network deep-learning keras
$endgroup$
I have been saving my training history in keras as follows:
history = model.fit(X_train, Y_train, epochs=700, batch_size=128,validation_data=(X_cv, Y_cv))
np.save('./history_sim#', history)
I am then trying to load the training history from the various simulations in order to print figures like loss vs. epoch, etc. as follows:
history = np.load('history_sim#.npy')
When I try to load the training history, I am receiving the following error message:
"ValueError: Unknown metric function:precision"
I am very worried that I have lost all of the training history now. Training takes several days and I am on a bit of a time crunch. Is the data lost or is there some way to get the data from the .npy file where I have saved it?
machine-learning python neural-network deep-learning keras
machine-learning python neural-network deep-learning keras
asked 2 mins ago
Ben GroeneBen Groene
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