Serena Lotreck

Most recent version not installed with pip

1

I still get the sklearn deprecation warning about sklearn.ensemble.forest, and when I ran `pip install --upgrade treeinterpreter`, I got the message that I was already up-to-date.

How to run a pretrained model on unlabeled data?

5

Hi, I'm looking to apply your pretrained models to an unlabeled, new dataset. I have my dataset in DyGIE format. Looking at the script, it's unclear to me how to...

All `accelerate` commands and imports fail in Singularity conversion of Docker container

2

### System Info ```Shell - `Accelerate` version: 0.19.0 - Platform: Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-glibc2.17 - Python version: 3.11.3 - Numpy version: 1.24.3 - PyTorch version (GPU?): 2.0.1 (True) - System RAM: 187.36 GB...

Training a model on a dataset that is not ace04, ace05, or scierc

1

I'm trying to train a set of models on my own dataset. When I provide the shorthand name of my own dataset for the `--task` parameters, I get an error...

I'm looking at the [most recent documentation](http://diging.github.io/tethne/api/tethne.networks.html#tethne.networks.papers.direct_citation), but it does not correspond to what I'm observing in my code. It says that "The `networks.papers.direct_citation()` method generates both a global citation...

Can't remote download pretrained model

1

When I try using `gdown` to get the pretrained model, I get the following error: ``` Access denied with the following error: Cannot retrieve the public link of the file....

Models trained with subset of ChemProt data unpredictably make large quantities of spurious predictions

3

I'm running a quick analysis to evaluate the effect of training corpus size on model performance on a fixed test set. The analysis is performed as follows: * Choose a...

Set random seed in `hierarchical_topics`?

9

I've set the random seed when I fit my topic model, and I'm getting reproducible results. I'm using the following: ``` def fit_reduce_model(rep_model, docs): """ Defines all component models internally...

Fixes the first expected behavior mentioned in #20. I'm not sure that this fix is universal; I'm confused about how the entity linker works when embedded in the full pipeline...

Best way to apply on large quantities of documents?

18

I have a corpus of ~75,000 abstracts that I want to make a KG out of using OntoGPT. After 4 hours, it only got through 50 documents -- not super...