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### Motivation
I am writing some codes, and I have noticed that the TSESampler tends to fall into a local minima and doesn't leaves it. Maybe there might be a way to leave this "hole" by applying Ran…
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Status: Failed
Command: `singularity exec --bind ${TEST_DIR}:/candle_data_dir build/DeepTTC.sif train.sh 4 /candle_data_dir`
Depends on:
- https://github.com/JDACS4C-IMPROVE/DeepTTC/issues/6
- ht…
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I tried the `plotCorrelation` function using different outputs generated by `multiBamSummary`. I get the error below when setting `--whatToPlot scatterplot`. The execution finishes successfully if thi…
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@luisevonderwiese and @gerhardJaeger, as discussed via email, we should now use the correpsondence patterns only one time per pattern, not the frequency information, but you can (please do so) filter …
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Since `dynEGA` computes the derivatives of the time series, all values (even categorical) will be continuous.
It is possible for there to be 7 or fewer continuous values resulting in `"auto"` and `…
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Problem: The kernel crashes while using custom eval metrics. It happens with all eval metrics even already implemented ones if you use the `eval_metric` in the `CatBoostRegressor`.
catboost version…
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As mentioned in #1289 if we want to deprecate the functionalities from `Scholar.Covariance` we should also support correlation. I can add this one.
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Could you please opensource your result of 2-class and 3-class classification of each of the 4 dataset in your paper?
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Which methods were used to assess relevance and redundancy, such as Random Forest, Mutual Information, or others?
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When I try to run:
`inter_item % correlate() %>% select(-rowname) %>% colMeans(na.rm = TRUE)`
I am receiving an error on R studio that reads:
**Correlation computed with
• Method: 'pearson'
• M…