Simon Schölzel

push, same here (Win10 user)

@peter-malik thanks for the guidance! I made it work that way, albeit a somwhat dirty workaround I must damit...

Hi @bgreenwell thanks for your reply - sorry for the delay... Unfortunately, it is difficult for me to provide a reproducible example since the entire workflow is predicated on proprietary...

@bgreenwell But if it is simply a scaling issue shouldnt I at least obtain somewhat similar rank orderings and the same sign of the effect? In the above example, despite...

Sorry, there was a typo in the initial issue description. Essentially, I was trying to implement a generalized linear model (logit/poisson) on the first and second stage. What I realized...

@kylebutts indeed thanks for the hint. However, as soon as I include fixed effects (which absorb the intercept), `car::vif()` returns the following warning and prevents a meaningful interpretation of the...

@lrberge on a related tangent: Let's say I'd like to run a first-stage Probit and a second stage (classic) OLS, is this currently doable with how `feols` is set up?

Hi Jonathan, thanks for taking the time to reply, I appreciate it. > On the second point, HonestDID imposes bounds on the post-treatment violations of parallel trends as a function...

@MthwRobinson do you have any updates on the matter?

```python from unstructured.partition.pdf import partition_pdf with open("testfile_with_images.pdf", 'rb') as f: base64str = base64.b64encode(f.read()).decode('utf-8') file_bytes = base64.b64decode(base64str) file_bytes = io.BytesIO(file_bytes) doc_elements = partition_pdf( file=file_bytes, #filename="testfile_with_images.pdf", languages=['deu'], strategy="hi_res", hi_res_model_name="yolox", ) ``` ```...