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Thank you for this wonderful tool. The regression command usually requires covariates to run the model. Is there an option to exclude the covariates when running the regression?
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Sentiment Analysis:
Using transformer-based models like BERT or DistilBERT for sentiment analysis is a good choice, especially considering their effectiveness in capturing contextual information. I…
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### Description
When testing binary ops with PyTorch models in inference mode tests are only failing when using shape: (1,1) for input tensor, regardless of used model(operand source). This is for al…
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Show some reduced representation of the data = f(time). It is suggested to consider the Spearman's rank correlation as an option for a rapid assessment of changes in the data flow.
## Expected Beha…
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**(Section 4.2.1 Assumptions A1 to A7 in SRS)**
Please read assumptions A1 to A7 and let us know if the first 5 assumptions are reasonable with respect to 3dfim+ and Pearson correlation coefficient …
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### Description
Add optional integer parameter `min_periods` to `polars.corr`, i.e. add option to require for Pearson/Spearman correlation coefficient to return non-null values only when enough rows …
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Under Statistics > Regression the only options are for correlation and not regression (pearson's correlation coefficient, spearman's rho, and the statistical correlation; see https://qalculate.github.…
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`table` method of `Desc()` with `verbose = 3` returns many hypothesis tests and Pearson and Spearman correlation coefficients with confidence intervals, e.g., #41
And `Desc(num ~num)` method does n…
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Hi- I'd like to ask your advice on the following situation.
I computed a 32x47 matrix of Pearson correlation coefficients and now I would like to apply shrinkage to these coefficients. If it matte…
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Dear developer,
Thanks for creating such a great package!
I would like to report that there is a bug in chart.Correlation() in that selecting either "pearson" or "spearman" as method in the function…