Whylogs

Hi everyone! We’ve now released whylogs 0.5.1 🚀.
whylogs is an open standard for data and ML logging created by WhyLabs. 👩🏽‍🔬

This version includes:

- 😊 Unicode support for stringtracker,
- 🐛 Various bug fixes.
- 📚 Documentation updates

📚 Full documentation can be found at https://docs.whylabs.ai or simply head to our Github https://github.com/whylabs/whylogs to learn more., We are always open to feedback at our repo or slack http://join.slack.whylabs.ai/.


✨ Features

- Unicode support for string tracker 266 [lalmei]

🐛 Bug Fixes

- Check additional attribute in Logger 260 [lalmei]
- Datasetprofiles reads and writes with smart_open 262 [lalmei]
- Use default config only if config is None 267 [lalmei]
- Handle non-string labels when serializing confusion matrix 265 [andyndang]
- String tracker update with custom character list 263 [lalmei]

📚 Documentation

- Update Coverage link 261 [lalmei]

Hi everyone! We’ve now released whylogs v0.5.0 🚀. whylogs is an open standard for data and ML logging created by WhyLabs. 👩🏽‍🔬

This release includes:
📝 Support for tracking NLP metrics such as Word Error Rate (WER), Match Error Rate (MER), Word Information Lost (WIL)
𝌋 Auto segmentation to help you discover meaningful segments in your dataset. Save segments for future use so that you can create separate profiles for each segment as data is streamed during deployment or training. Compare segments to help identify bias, and so much more!
🐛 Various Bug fixes.
📚 Documentation updates: Full documentation can be found at https://docs.whylabs.ai or Github https://github.com/whylabs/whylogs
📈 You can push your whylogs profiles directly to WhyLabs Platform for monitoring if you have an API key. Need an API key? Sign up for the free account here: https://bit.ly/whylabs-free-sign-up
❤️ Give us feedback or chat with our team on Slack: http://join.slack.whylabs.ai/

Below is the detailed change log:

✨ Features

- API and method to auto segment features in a model. 255 [bernease, lalmei]
- NLP metrics such as Word Error Rate 248 [lalmei]

🐛 Bug Fixes

- Fix non-tracked character positions in String Tracker merge257 [lalmei]
- Fix number of tokens in StringTracker merge 256 [lalmei]
- Add example showing custom tokenizer for string tracking 253 [lalmei]

📚 Documentation

- Add String Tracker Notebook example link in README 252 [lalmei]
- Add example showing custom tokenizer for string tracking 253 [lalmei]
- update release draft to use correct version number 249 [lalmei]

🔨 Maintenance

- Refactor datasetprofile's flatten profile 250 [lalmei]
- Fix `make bump-x` scripts 258 [lalmei ]

Hi everyone! We’ve now released whylogs v0.4.9 🚀. This release includes support for tracking and visualizing string features, along with some bug fixes and documentation updates. Whylogs is an open standard for data and ML logging created by WhyLabs. 👩🏽‍🔬

This version includes:

✨ Features

- String features such as length, word count, and character position tracking 236 [lalmei]
- String related visualizations for character position tracking in visualization library 236 [lalmei]
- Protobuf are written in serialized delimited format by default 243 [cswarth]
Note: To read previously default written files use `datasetProfile.read_protobuf(protobuf_file_path, delimited_file=False)`

🐛 Bug Fixes

- Store `null_count` in schema tracker only 234 [andyndang]
- Feature list in the static HTML profile viewer dynamically updates based on checked inferred types 230 [valer-whylabs]

📚 Documentation

- Added Content profile viewer 239 [valer-whylabs]
- Notebook example for string tracking 236 [lalmei]

✨ Features

- Static HTML Profile Viewer 227 [valer-whylabs]
- Add profile viewer method 229 [lalmei]
- Enable publishing to WhyLabs 222 [andyndang]

📚 Documentation

- update README with visualization methods 229 [lalmei]
- ROV Logging Example 221, 224 [lalmei]
- Add PR template and Contribution guide 220 , 223 [lalmei]
- Fix README in pypi 219 [andyndang]

✨ Features

- Move profile IO into background threads 204 [andyndang]
- accept magnitude and units in with_rotation_time param 180 [cswarth]
- Regression metrics 171 [lalmei]
- python 3.9 support 170 [lalmei]

🐛 Bug Fixes

- Add none case classification metrics merge 189 [lalmei]
- Create a new logger if the existing one is closed 209 [andyndang]
- Enable custom number of histograms 165 [andyndang]
- make sure merger doesn't affect model type 191 [lalmei]
- Handle None case in Confusion matrix merging 163 [andyndang]
- Return 0 for a single value tracker 162 [andyndang]
- Fall back to number unique summary or string unique summary 164 [andyndang]

📚 Documentation

- Update Spark example 218 [andyndang]
- add example section 217 [lalmei]
- Update README.md 215 [lalmei]
- Configuration and docs updates 203 [naddeoa]
- fix typos in logger doc strings 178 [cswarth]
- Fixed sphinx documentation 166 [andyndang]

🎨 Improve structure and format of code

- move example notebooks from example repo 147 [lalmei]
- Add poetry to manage dependencies 200 [naddeoa]
- Reformat the codebase with black, update format targets 201 [naddeoa]

🚨 Testing

- test jupyter notebooks in repo 147 [lalmei]

🐛 Bug Fixes

- Fix merge logic for various corner cases 159 [andyndang]
- Default ModelProfile to None 159 [andyndang]
- Fixed merging two ModelProfile after deserializing from protobuf bytes 159 [andyndang]
- Fix constraints bug `AttributeError: 'ValueConstraint' object has no attribute 'update'` 158 [cswarth ]