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Hey guys. Apologies for being AWOL. I'm back to working on this with some updated data and covariates. The data are complete through 2017 but lack age structure information from scale aging for 2018…
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I quickly glanced through the code and did not find any intercept adjustment during test (prediction) time when the estimator is initialized as ``LogisticRegression(class_weight="balanced")`` and the …
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It seems only multiclass classification is supported as I see:
`assert type_of_target(y) == "multiclass"
`
in classification.py. Seems to me that binary classification could also be supported wi…
jrash updated
9 months ago
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Add a tutorial on identifying artifacts, particularly in multiparent populations.
- single outlier
- missing genotype
- especially narrow LOD peaks
- crazy coefficient estimates
- at a SNP that…
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When working with weekly data, it's easy to mess up the specification of lagsets and aheadsets, but we only get a a confusing/imprecise error message about 0 non-NA cases instead, and it seems quite c…
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@dukebw Hi, thanks for your code. I download it and run it but meet with 3 main problems:
1. It seems that it cannot reproduce the result in the paper? I run it using the run.sh by default and the ev…
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Currently Colossus has been archived from CRAN for failing tests on their "r-devel-linux-x86_64-fedora-clang" machine. [Version 1.1.1](https://cran.r-project.org/src/contrib/Archive/Colossus/Colossus_…
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For Fairlearn, we can simply regard it as changing the sample weights and targets(Y) over iterations to make our classifier fair. What if I have my own train sample weights and want the returned algor…
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Suggested by Tingley as a good idea.
rBatt updated
8 years ago
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[迁移学习:将所有的图片交给 VGG16，利用 VGG16 的深度网络结构中的五轮卷积网络层和池化层，对每张图片得到一个 4096 维的特征向量，然后我们直接用这个特征向量替代原来的图片，再加若干层全连接的神经网络，在花朵特征向量集和花朵标签集上进行训练。本质上，我们是将 VGG16 作为一个图片特征提取器，然后在此基础上再进行一次普通的神经网络学习，这样就将原先的 244 * 224 * 3 维…