v1.0.0
Unfortunately, we renamed again for consistency and clarity. Here is the new naming style.
Backend | pypi version | desc |
---|---|---|
TensorFlow 2.x | kashgari 2.x.x | coming soon |
TensorFlow 1.14+ | kashgari 1.x.x | current version |
Keras | kashgari 0.x.x | legacy version |
If you are using the kashgari-tf version. You only need to run this command to install the new version.
pip uninstall -y kashgari-tf
pip install kashgari
Here is how the existing versions changes
Supported Backend | Kashgari Versions | Kahgsari-tf Version |
---|---|---|
TensorFlow 2.x | kashgari 2.x.x | - |
TensorFlow 1.14+ | kashgari 1.0.1 | - |
TensorFlow 1.14+ | kashgari 1.0.0 | 0.5.5 |
TensorFlow 1.14+ | - | 0.5.4 |
TensorFlow 1.14+ | - | 0.5.3 |
TensorFlow 1.14+ | - | 0.5.2 |
TensorFlow 1.14+ | - | 0.5.1 |
Keras (legacy) | kashgari 0.2.6 | - |
Keras (legacy) | kashgari 0.2.5 | - |
Keras (legacy) | kashgari 0.x.x | - |
- 💥Renaming pypi package name to
kashgari
. - ✨Allows custom average types, logs to an array for easy access to the last epoch.
- ✨Add min_count parameter to the base_processor.
- ✨Add
disable_auto_summary
config.