Releases: RedisAI/redisai-py
Releases · RedisAI/redisai-py
version 1.3.0
Version 1.2.3
Version 1.2.2
Version 1.2.1
Changes
- Version and redis pin (#88)
v1.2.0
First release supporting RedisAI 1.2
Supports RedisAI 1.2.4 and up
Changes
- replacing the version in the toml with the tag (#78)
- Update config.yml - lint ci is 30m (#75)
- release changes (#74)
- Add dagexecute support (#69)
- SCRIPTEXECUTE support (#68)
- Tflite test fix (#73)
- Fix bug in tflite test (#72)
- modern python (#65)
- Add MODELSTORE and MODELEXECUTE (#60)
- venv packages spelling fix (#64)
- pointing to edge docker (#63)
Version 1.0.2
Changes
- Restructuring and formatting @hhsecond (#56)
- TESNORGET as mutable numpy ndarray @alonre24 (#54)
- Remove last special character from DAG before run @hhsecond (#53)
- Fix DAGRUN with no LOAD or PERSIST @lantiga (#46)
- [WIP] Pipeline command @hhsecond (#41)
- Update test.py @gkorland (#40)
- RTD test @hhsecond (#38)
Maintenance
- Added release automation (creates drafts automatically and pushes to pypi on release) @filipecosta90 (#50)
Release 1.0.1
Bug Fixes & Improvements
- PyPI documentation format issue
- Better error message on wrong device and wrong backend
Release 1.0.0
Bug fixes & improvements
- More pythonic APIs
- Numpy objects are the default tensors
- redisai specific DType, Backend and Device objects are gone in favor of native python strings
- Standardization of return data type
- SCRIPTLIST & MODELLIST -> SCRIPTSCAN & MODELSCAN
- Documentation in ReadTheDocs
New features
- Automatic chunking of big models
- DAG
Release 0.5.0
- TFLite support
- Tensor API stabilization
- tensorget expect numpy arrays by default
- tensorset returns numpy array by default
- more test cases
Release 0.4.1
Bugfix:
- pip install with python2.7 raises an exception now
- mypy uses type supported by early 3.xs