Releases: ContextLab/data-wrangler
Releases · ContextLab/data-wrangler
v0.2.2 (July, 2022)
- v0.2.1: Bug fixes when hugging-face libraries aren't installed
- v0.2.2: Better error handling when hugging-face libraries aren't installed and user asks to embed text using hugging-face models
v0.2.0 (July, 2022)
- Adds CUDA (GPU) support for pytorch models
- Streamline package by not installing hugging-face (🤗) support by default
- Adds Python 3.10 support (and associated tests)
- Relaxes some tests to support a wider range of platforms (mostly this is relevant for GitHub CI)
- Relaxes requirements.txt versioning to improve compatibility with other libraries when installing via pip
v0.1.7 (August, 2021)
Updates model defaults to support more use cases
v0.1.6 (August, 2021)
Note: this version will be replaced by 0.1.7 shortly; tagging for archival purposes.
More fixes to dw.unstack.
v0.1.5
Fixes a bug in dw.unstack
v0.1.4 (August, 2021)
This seems to be an auspicious day for datawrangler releases! This minor version reflects a new flag added to apply_default_options
that supports (optionally) supplying a customized "defaults" dictionary.
v0.1.3 (August, 2021)
Fixed an annoying bug related to unstacking multi-index dataframes
v0.1.2 (August, 2021)
Minor release:
- Fixes links to Khan Academy and NeurIPS corpora
- Better handling of .npy and .npz files (thanks @paxtonfitzpatrick!)
v0.1.1 (July, 2021)
Minor update in order to make the package available on pipy. To install:
pip install pydata-wrangler
v0.1.0 (July, 2021)
Initial release!