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hi, I met some problem that I didn't get 0.64 accuracy after running this code, I alse set the parameters according to the paper right, like epoch = 40, batch_size = 64, but I got 0.6 accuracy only at…
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1) Make a single model predicting 0 or (1 and log revenue)
2) Make class variable for categorical values and a lot of data cleaning incldng date (Weekday/Weekend), time (Morning, Afternoon, Evening, …
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Comments by @seabbs
> I think the missing piece of the puzzle is to go back to doing some anomaly correction but in a less hardcore fashion that we did last time. Previously, we corrected all of t…
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Hi,
Thank you for your repo and paper. This is an awesome work!
I want to ask that in your paper [An Analysis of Scale Invariance in Object Detection – SNIP](https://www.cs.umd.edu/~bharat/crsni…
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When I use this command `nnUNetv2_find_best_configuration DATASET_NAME_OR_ID -c 3d_fullres,` because I don't know much about his theoretical knowledge, I don't know what he means to decide the best co…
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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In the descriptions, you said the final output from your model is a result of stacking XGB and RF models, but in the code "trainModel" it is not obvious that how you stack them together. It is possib…
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# Time series Forecasting in Python & R, Part 2 (Forecasting ) | Sandeep Pawar
In the second part of this blog series on forecasting I discuss forecasting steps, evaluation of forecasting methods, mo…
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### 🐛 Describe the bug
When using FCD, the order in which functorch.dim and a tensor subclass is created seem to matter in whether or not it will work or not. Here are some examples:
Works:
```py…