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@tdhock this is the outline of my new paper, can you give me some feedbacks
# Learning Penalty Parameters for Optimal Partitioning via Automatic Feature Extraction
## Abstract
Changepoint detec…
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In the code of making one-hot targets for class prediction, the `no-object` class prediction seems not to be supervised:
https://github.com/IDEA-Research/DINO/blob/3ffda400b0f1d4a919fbe2a9cf567e79d21…
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i waiting sana so long for training on potato, but its not working on A40 with 48GPU(
```
(sana) root@c88159d783a4:/workspace/sana# bash train_scripts/train.sh configs/sana_config/1024ms/Sana_1600…
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We already have `MaskedVisionTransformer` classes for TIMM and torchvision that take images as input and output a token for every image patch. These classes are versatile as they can be used for many …
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| Case | Ready | Meshes | Comments |
|---------|-----|-----|--------|
| MMS | [x] | Scripts ready; Structured hex (blockMesh) or tet/poly (Gmsh + polyDualMesh) | 2nd order displacement; 1-1.5…
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import matplotlib.pyplot as plt
import pandas as pd
from sklearn import linear_model
from sklearn.preprocessing import PolynomialFeatures as PF
from sklearn.ensemble import RandomForestClassifier
…
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**Is your feature request related to a problem? Please describe.**
Confidence and prediction bands offer a interesting insight into regression outcomes. While the fitted function (correct model selec…
bvenn updated
2 years ago
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Defect description:the experiment section does not show any experiment but only the prerequisites .steps to reproduce the issue:1.click on speech signal processing lab.2.click on list of experiments.3…
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**Describe the bug**
I am trying to create a working example of using ConformalIntervals for time series forecasting. I am using a ML regressor within make_reduction(LGB) to train my model. I run i…
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This model utilizes a multivariate linear regression algorithm to predict the cost of medical insurance. The dataset consists of 1338 data points with 6 input features and 1 target variable. Prior to …