Mingze "Rico" Huang

Results 18 comments of Mingze "Rico" Huang

Hi, @Vlasovets, it works well on my computer. The output as follows: ordinal levels between 4 and 10 will be approximated by either countinuous or truncated type. (array([[ 1.00000000e+00, 3.08707986e-01,...

Hi, @Vlasovets, I'm sorry I found that it works well when we set "method ='original'", but hit some problem when we set "method = 'approx'", I think perhaps there is...

Hi @Vlasovets, I think the package works well, the only problem is I didn't make it to recognize binary as 1 and 2 but instead it should be 0 and...

Hi, @Vlasovets. I see! The maximum iteration limit actually comes from nearest Positive definite adjustment. Let me try to turn off them and see if the output is correct:) And...

Hi, @Vlasovets, I've used both latentcor in R and Python, the pointwise R (no positive definite correction) are consistent. So you can set "use_nearPD=False" if you don't need positive correction...

@Vlasovets Also I just showed in your colab, the "method = approx" works as well :)

Hi, @Vlasovets , I've made dictionary and increase the iteration limit of positive definite correction as well:) See the colab:)

Hi, @Vlasovets I've fixed them accordingly. Let me know if it still has any issue:)