gobbli
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Deep learning with text doesn't have to be scary.
Bumps [pyyaml](https://github.com/yaml/pyyaml) from 5.3 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...
Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.5.4 to 3.7.4. Release notes Sourced from aiohttp's releases. aiohttp 3.7.3 release Features Use Brotli instead of brotlipy [#3803](https://github.com/aio-libs/aiohttp/issues/3803) <https://github.com/aio-libs/aiohttp/issues/3803>_ Made exceptions pickleable. Also changed the repr...
Only discovered this tool now, and is something I have been wanting to build with streamlit as well. Are you open for contributions, is there a roadmap? Thoughts in this...
Hello, Gobbli is a fantastic package. I've been trying to use it in some of my work. One issue is it seems like the BERT checkpoint is being loaded at...
## Feature Implement best-effort support for some descriptive stats commonly applied to text data -- keyword/n-gram counts, typical document length, distribution of classes/labels, etc. ## Motivation Helpful for people exploring...
## Feature Support some best-effort methods for some of the following: clustering, topic modeling, similarity calculation, and/or visualization (via ex. UMAP). These would be helper functions that operate directly on...
## Feature Write the DLTK version number in the model metadata and either warn or raise an error if an incompatibility is detected when reloading an old model. ## Motivation...
## Feature Implement some functionality to make downloading and caching files more robust. ## Motivation There are some potential pitfalls related to filename collisions, partial downloads, and bookkeeping with the...
## Feature Tasks that take input can accept an in-memory list **or** a path to a file with some specified format with optional validation. ## Motivation Prevents users' datasets from...
## Feature Support multilabel classification instead of just multiclass classification. ## Motivation This would allow a single model to share information about multiple labels instead of training multiple models to...