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Hi @ma787639046, thanks for opensouring the interesting work!
I have some questions about the reranker training details.
In your paper, the reported the reranker MRR@10 is 43.3. While in the [hf…
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Hello! I'm delighted that `lavPredictY` exists! (and maybe a residuals with raw data is soon to come?) I'm trying to futz with it to look at newdata (and see if I can monkey with it enough to get SEs …
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Dear Marcello,
I have an additional question. Since Jamovie-amm is based on lavaan, is there also the possibility of missing data handling integrated (e.g. FIML)?
Thanks again!
Denise.
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Hi sorry I am not sure if this is a good question to ask on GitHub, but professor Ben Goodrich suggested that I reach out to the authors (see my original StackOverflow post [here](https://stackoverflo…
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When piping add_atop_alliance() to create_dyadyears, I get the following error:
```
Error in `left_join()`:
! `by` must be supplied when `x` and `y` have no common variables.
ℹ Use `cross_join()…
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@ngreifer, I was reading [your excellent new blog post on missing data](https://ngreifer.github.io/blog/treatment-effects-mi/), and it made me realize how clunky the workflow is for multiple imputatio…
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## 🐛 Bug
When I try to build PyTorch with `USE_SYSTEM_XNNPACK` I see the following error message:
```
[3036/4187] Linking CXX shared library lib/libtorch_cpu.so
FAILED: lib/libtorch_cpu.so
: &…
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For independant t-tests, we can get two different data structures from `get_data()` depending on the input to the `t.test()`:
``` r
t.test(mtcars$mpg ~ mtcars$am) |>
insight::get_data()
#> …
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Hello, this package has been a lifesaver for my imputation needs. However, recently I encountered this error.. "ValueError: Found array with 0 sample(s) (shape=(0, 174)) while a minimum of 1 is requir…