Nov 14, 2021 · Or use TensorFlow 2.5 or later. If you are using TensorFlow version 2.5, you will receive the following warning: tensorflow\python\keras\engine\sequential.py:455: UserWarning: model.predict_classes () is deprecated and will be removed after 2021-01-01. Please use instead:* np.argmax (model.predict (x), axis=-1), if your model does multi-class ...
Aug 29, 2020 · AttributeError: 'Functional' object has no attribute 'predict_proba' ... I loaded my pretrained models in a function and returned it using this code. ... 'Functional ...
Dec 28, 2021 · model.predict_classes is deprecated, So you can try replacing. predicted = model.predict_classes(token_list) to predict_x=model.predict(token_list) classes_x=np.argmax(predict_x,axis=1) Can you also take a look at this link about the similar issue and let us know if it helps? Thanks!
13.11.2020 · The _make_predict_function seems to have been deprecated and removed in newer versions of keras/tensorflow. As seen here it was a function in the older Keras, but once keras became a part of tensorflow, the method no longer exists in the same file in the newer keras .
Sep 25, 2020 · _make_predict_function() is from old version of Keras. Try to install Tensorflow 1.15 (with Keras 2.2.4-tf) instead of 2.x.x as you are trying to call old function on new model_from_json. Share
11.03.2019 · Oh, I missed that. Well, I am no expert, but, first of all, your loss and the last layer of your model are incompatible. For 'sparse_categorical_crossentropy' you should have a dense layer with the number of categories and a softmax activation. If you want to use the last layer you have in the example above, you should probably use tf.keras.losses.BinaryCrossentropy().
24.09.2020 · _make_predict_function() is from old version of Keras. Try to install Tensorflow 1.15 (with Keras 2.2.4-tf) instead of 2.x.x as you are trying to call old function on new model_from_json. Share
16.01.2020 · Keras and TensorBoard - AttributeError: 'Sequential' object has no attribute '_get_distribution_strategy' 2 Unpickled tensorflow model fails to make predictions
Issue with add method in tensorflow : AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike' 4 'Sequential' object has no attribute 'loss' - When I used GridSearchCV to tuning my Keras model
05.10.2018 · Option 3. # using model's methods model.save ("my_model.h5") # deletes the existing model del model # load the saved model back new_model = load_model ('my_model.h5') Option 1 requires the new_model to be compiled before using. Option 2 and 3 are almost similar in syntax. Codes used from:
Nov 13, 2020 · The _make_predict_function seems to have been deprecated and removed in newer versions of keras/tensorflow. As seen here it was a function in the older Keras, but once keras became a part of tensorflow, the method no longer exists in the same file in the newer keras .
Apr 03, 2017 · Add documentation for Model._make_predict_function #13116. Closed. mihajenko pushed a commit to mihajenko/ivis that referenced this issue on May 5, 2020. rm call to private Model._make_predict_function. fae6a90. Discussions on why it isn't recommended to call: * keras-team/keras#6124 * keras-team/keras#13116.
14.11.2021 · Or use TensorFlow 2.5 or later. If you are using TensorFlow version 2.5, you will receive the following warning: tensorflow\python\keras\engine\sequential.py:455: UserWarning: model.predict_classes () is deprecated and will be removed after 2021-01-01. Please use instead:* np.argmax (model.predict (x), axis=-1), if your model does multi-class ...
Nov 11, 2020 · BentoML/Keras AttributeError: 'Functional' object has no attribute '_make_predict_function' #19 Open ShayanRiyaz opened this issue Nov 11, 2020 · 2 comments