Saving and loading keras.callbacks.History object with np.save and np.load

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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?









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    $begingroup$


    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?









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      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?









      share









      $endgroup$




      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





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      asked 2 mins ago









      Ben GroeneBen Groene

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