Export the best trained Keras Model.
Actually, exporting the model as a Keras model is not working as expected,
check out the bug https://github.com/keras-team/autokeras/issues/929 .
export_model(autokeras_model)
autokeras_model | : A trained AutokerasModel instance. |
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keras.Model instance. The best model found during the search, loaded with trained weights.
if (FALSE) { library("keras") # use the MNIST dataset as an example mnist <- dataset_mnist() c(x_train, y_train) %<-% mnist$train c(x_test, y_test) %<-% mnist$test library("autokeras") # Initialize the image classifier clf <- model_image_classifier(max_trials = 10) %>% # It tries 10 different models fit(x_train, y_train) # Feed the image classifier with training data # Predict with the best model (predicted_y <- clf %>% predict(x_test)) # Evaluate the best model with testing data clf %>% evaluate(x_test, y_test) # Get the best trained Keras model, to work with the keras R library export_model(clf) }