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Just checking if this worths a PR. Currently Lineal Regression returns m and b, but you always want to check R square attached to see how well the fit was. I know there is a R-square function but woul…
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Is there the chance to get an "equivalent" measure of correlation as the Pearson correlation between variables. I'm referring to the paper ["Canonical Correlation Analysis on Riemannian Manifolds and …
sazio updated
2 years ago
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Escrever a parte de resultados
- [x] Base de High frequency - Pearson - RMT
- [x] Base de High frequency - Kernel- RMT
- [ ] Base de High frequency - Pearson - sem RMT
- [ ] Base de High f…
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Hi, @jlause
There's a issue when using `normalize_pearson_residuals`, it seems that we can't calculated the `log2foldchange` in `rank_genes_groups` will be failed. That's because `np.expm1` …
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I'm trying to compare 2 models using a Pearson Chi-2 type 3 statistical test. I've done this before in some expensive software, so was trying to figure out how to do it with python.
That procedure f…
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when I ran these code which followed Single-cell best practices:
analytic_pearson = sc.experimental.pp.normalize_pearson_residuals(adata, inplace = False)
adata.layers["analytic_pearson_residuals"…
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### Description
Need an option for Polychoric correlation matrix
### Purpose
To estimate correlations between variables better. Since EFA is made with that option, it should also be an option in t…
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The Pearson Type III SPI runs at least a magnitude slower than does the SPI using a Gamma transform/fitting. Profile using the Kern profiler and/or other tools (Understand?) to identify the "hot" func…
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Hi,
I am using `MultipleNegativesRankingLoss` to train a German Bert model (deepset/gbert-base) on German sentence pairs.
During the training I am evaluating on German stsb data. My observation is…
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*Issue migrated from trac ticket # 3090*
**milestone:** HeuristicLab 3.3.x Backlog | **component:** Problems.DataAnalysis | **priority:** medium
#### 2020-12-02 00:00:31: @foolnotion created the iss…