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Possibly stratified by AMPDS code and date/time
https://github.com/RichardPilbery/DAA_DES/blob/e0b65aef137c5a88f0e51fbcbb1d82bbde4233bd/class_patient.py#L14
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**Is your feature request related to a problem? Please describe.**
For modeling skewed and/or heavy-tailed distributions i'd like to have support for Lambert W x F distributions. On top of modeling…
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**Feature request: glms for positive continuous distributions**
It would be very useful to include `_glm_lpdf` functions positive-only data with positively-skewed errors. (See my post here
http…
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can you use categorical data in dynamic features ?
vs
paper
https://arxiv.org/pdf/1704.04110.pdf
One challenge often encountered when attempting to jointly learn from multiple time series in real…
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The normal assumption can be tested with the newly collected data points. With a sample size of 30, you would not have much power. You could test goodness of fit of skewed distributions such as gamma …
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The current way we are computing norms on sparse data in cuml is suboptimal because we are performing explicit loops over sparse vectors within threads, which causes massive divergences, especially on…
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I just learned about this package and I am finding it super useful. Thank you.
A small suggestion: It would be great if the user could report other statistics to be used in `descr`. In my case, I …
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- What are your thoughts on the interpretations?
-I am going to perform hierarchical clustering on the three different sets of data next
- Then I am going to look at transforming the skewed water va…
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## Feature request
#### Which Delta project/connector is this regarding?
- [x] Spark
- [ ] Standalone
- [ ] Flink
- [ ] Kernel
- [ ] Other (fill in here)
### Overview
Missing impleme…
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Log transforms can often be helpful for heavily skewed numeric data.
#### Code Example
```python
class Logarithm(TransformPrimitive):
"""Computes the logarithm of base 10 of a number.
…