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I'm trying to do nested CV for my multivariate time series but I'm really confused how to do it. I have 7 Time series which are the inputs of my...
Asked on 11/22/2021
0 answerI found a very good solution for getting rid of checkerboard artefacts in GANs: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/190 Instead of using Transposed Convolution, use bilinear upsampling ...
Asked on 11/22/2021
0 answerConfusion matrix 2A three-class classifier is evaluated on a test setof 900 samples which containsall three classes in equalproportions.• Classes 2 and 3 are always classified correctly•...
Asked on 11/22/2021
1 answerI have three models:ArimaAuto ARIMADouble Exponential SmoothingI would like to apply an ensemble method - a voting method and allow the classifier to learn weights for these three models. I...
Asked on 11/20/2021
1 answerSuppose I have a dataset labeled with two classes such as healthy and unhealthy and I applied feature selection (feature importance) on the dataset. How can I know if the...
Asked on 11/20/2021
2 answerI am trying to detect edges on this lane image. First blurred the image using Gaussian filter and applied Canny edge detection but it gives only blank image without detecting...
Asked on 11/20/2021
1 answerI am working on a project on Neural Machine Translation in the English-Irish domain. I am not an expert and have researched entirely on my own for a technology...
Asked on 11/20/2021
1 answerI'm asked to create a SHAP analysis in R but I cannot find it how to obtain it for a CatBoost model. I can get the SHAP values of an...
Asked on 11/20/2021
1 answerThere's a theoretical question I tackled upon in the excellent book Neural Networks and Deep Learning by Michael Nielsen, which I would love to discuss about. The question is:How do...
Asked on 11/20/2021
0 answerI created a CNN model for image classification and I want to use Principal Component Analysis (PCA) but when I run pca.fit() code, the code still running for hours and...
Asked on 11/19/2021
1 answerGet help from others!
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