WebFeb 29, 2024 · 1 Answer. You are trying to predict a discrete class with a regression network. When trying to predict discrete classes, one usually outputs a vector of class-probabilities - the probability for each class given the input. On the other hand, there are regression tasks in which one wants to compute a continuous function of the given input. WebApr 12, 2024 · 网络训练IndexError: Target 1 is out of bounds.问题的解决参考. 林一11: 你好,我这边是0,1两类,而且linear层也设置为2的,但是还是报错说IndexError: Target 1 is out of bounds. ,请问是怎么回事呢? 网络训练IndexError: Target 1 is out of bounds.问题的解决参考. 深世易诗: 有用!谢谢
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WebJun 5, 2024 · The problem seems to be in the loss function but I can’t find it. I have read the Pytorch Documentation for nn.CrossEntropyLoss but still can’t find the problem. Image size is (1 x 256 x 256), Batch size is 1. ... _Reduction.get_enum(reduction), ignore_index) **IndexError: Target 1 is out of bounds.** Process finished with exit code 1 Webtorch.nn.functional.nll_loss. The negative log likelihood loss. See NLLLoss for details. K \geq 1 K ≥ 1 in the case of K-dimensional loss. input is expected to be log-probabilities. K \geq 1 K ≥ 1 for K-dimensional loss. weight ( Tensor, optional) – a manual rescaling weight given to each class. If given, has to be a Tensor of size C. egophony physical exam
python - IndexError: Target 1 is out of bounds - Stack …
WebJun 5, 2024 · Jun 5, 2024 at 3:09. @SanskarKumar Python lists and tuples use 0 for the first index inside of the list or tuple. If your list or tuple only has 1 element in it, everything … WebJan 17, 2024 · Hi, I am following this fantastic notebook to fine-tune a multi classifier. Context: I am using my own dataset. Dataset is a CSV file with two values, text and label. Labels are all numbers. I have 7 labels. When loa… WebApr 7, 2024 · Para obtener las probabilidades de la clase positiva (la probabilidad de 1), puedes cambiar esa línea por: lr_probs = model.predict_proba(testX)[:, 1] Aquí, [:, 1] accede a la segunda columna de la matriz predict_proba(testX), que contiene las probabilidades de la clase positiva (la probabilidad de 1). folding covers for pickup beds