-
Found:
``` Mathematica
>>> Sum[Binomial[n, k], {k, 0, n}]
$RecursionLimit::reclim: Recursion depth of 200 exceeded.
$Aborted
```
Expected:
``` Mathematica
2^n
```
sn6uv updated
4 years ago
-
_From @mfrasca on January 8, 2016 12:14_
the static method `Species.str` computes the markup string for a taxon, species or infraspecific.
when an accession has been identified with uncertainty, this…
-
Thank you for sharing your code. Nice work! I have a question about the Binomial Deviance Loss. In your previous paper, Binomial without mining achieves recall-top1 of 64% on CUB200, but I can not rep…
-
GLM has support for the "quasi binomial" family. When will that be available for GBM? That's needed for a feature in our software I'm working on.
-
Okasaki's lazy binomial heaps have good amortized bounds, but extraction is linear in the worst case. It's quite easy to make all operations worst-case logarithmic by representing the spine as a strea…
-
From case study zero of the old abn-homepage.
# MRE
The for-loop comparing INLA, internal C laplace and glm results, shows an over/underflow warning originating from laplace calculations in `nod…
-
accuracy, ROC, etc.
-
Originally reported as a comment in
#16726:
```
sage: R. = AsymptoticRing('n^QQ', QQ)
sage: binomial(n, 3)
Traceback (most recent call last):
...
TypeError: cannot coerce arguments: no canonical c…
-
Hi,
I was wondering whether standard error clustering actually works. In the code example you can see that clustering does not change the standard errors whereas I would expect them to move and fix…
-
#### Is your feature request related to a problem? Please describe
I wanted to use negative binomial to model RNAseq counts data with the sm.NegativeBinomial.fit() function. However, the present func…