Dense object is not iterable
Web2 Answers. Sorted by: 5. There are several problems with your code: indentation. if you are on python 2, you should have defined next () method instead of __next__ () (leave it as is if on python 3) ++self.i should be replaced with self.i += 1. self.l [i … WebI think the point of confusion here is that, although implementing __getitem__ does allow you to iterate over an object, it isn't part of the interface defined by Iterable.. The abstract base classes allow a form of virtual subclassing, where classes that implement the specified methods (in the case of Iterable, only __iter__) are considered by isinstance and …
Dense object is not iterable
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WebJul 2, 2024 · 1 Answer Sorted by: 2 I had this same problem this week. It seems that the tf.keras Additive attention does not return the attention weights, only the context vector. Therefore you just need to eliminate "attention_weights" when calling AdditiveAttention () and you should be good. Share Improve this answer Follow answered Jul 12, 2024 at 7:20 WebNov 24, 2024 · Found a NULL input array in _cext_dense_tree_update_weights! ValueError: could not convert string to float: 'MY_CATEGORY_NAME' Exception: Currently TreeExplainer can only handle models with categorical splits when feature_perturbation="tree_path_dependent" and no background data is passed.
WebMar 2, 2024 · I am trying to combine encoder and decoder in keras Here is minimal code to test Data load from keras.layers import Input, Dense, Conv2D, MaxPooling2D, UpSampling2D, Flatten, Reshape from keras.... WebNov 7, 2024 · which returns TypeError: 'DataBatch' object is not iterable I have checked around but cannot figure out what is going wrong. According to the doc, NDArrayIter is indeed an iterator and indeed the following works for batch in train_data: print batch.data [0].asnumpy () batch.data [0].shape I am sure I am doing something very silly here.
WebAug 7, 2024 · The accepted answer is great. However, in case anyone is trying to access history without storing it during fit, try the following: Since val_loss is not an attribute on the History object and not a key that you can index with, the way you wrote it won't work. WebMay 30, 2024 · You're adding a type to your list, not an instance of the type. What you're doing is essentially the same as this: class Experience: pass buffer = [] buffer.append(Experience)
WebTry this and you will get the same error: v1, v2 = np.float64 (1.3) # numpy.float64 object, cannot be unpacked because it is not an iterable. result [0] is a numpy float, just as np.float64. I'm not sure what results holds, but removing the [0] index might fix your problem, if the data you want is in the array result. Share. Improve this answer. lakeline mall theatreWebOct 31, 2024 · If your input data is univariate (e.g. 1D sequence), then num_channels=1 - thus: model.add (LSTM (128, activation='relu', input_shape= (1000, 1), return_sequences=True)) Lastly, for 'binary_crossentropy', a better output layer would be Dense (1, activation='sigmoid'). For more info, see this answer. lakeline mall store directoryWebApr 12, 2024 · 3 Answers. One approach to testing whether an object can be looped over is to check whether it's an instance of Array or Object. However, this approach will also include strings, which is not what we want in this case. To exclude strings from the loop, you can add an extra condition to your if statement. hellboy 2004 free to watchWebJul 10, 2015 · Thanks for the response but Cory's works quite well. I need to keep the location and filetype outside of the intermediate count function when I start prompting for user input (continual repetition of input rejection until a "good" value is entered). hellboy 2004 free onlineWebOct 19, 2024 · It may be a late answer, but I got the same problem and below is the solution # Don't use categorical_features= [10] in encoder init from sklearn.preprocessing import OneHotEncoder onehotencoder=OneHotEncoder () Y= onehotencoder.fit_transform (X [:, [10]]).toarray () Share Improve this answer Follow answered Feb 13, 2024 at 7:40 vikas … lakeline mall map of storesWebApr 25, 2024 · There is a simple fix if, like me, you get frustrated by this. Simply use Category Encoders' OneHotEncoder. This is a Sklearn Contrib package, so plays super nicely with the scikit-learn API. This works as a direct replacement and does the boring label encoding for you. hellboy 2004 full movie freeWebYour while-statement is missing a : at the end. It is considered very dangerous to use input like that, since it evaluates its input as real Python code. It would be better here to use raw_input and then convert the input to an integer with int. To split up the digits and then add them like you want, I would first make the number a string. lakeline mall stores directory