release v0.2.0

Add `setup_tb`, write `summary_config` for tensorboard hparams to be able to recognize hyperparameter more accurately. 
This converts keras-tuner hp into tensorboard hparams api, then write `summary_config`.

Support:
- `kerastuner.engine.hyperparameters.Int`: converted into `hp.IntInterval`
- `kerastuner.engine.hyperparameters.Choice`: converted into `hp.Discrete`
- `kerastuner.engine.hyperparameters.Float`: converted into `hp.RealInterval`
- `kerastuner.engine.hyperparameters.Boolean`: converted into `hp.Discrete`, values=(True, False)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "kerastuner-tensorboard-logger"
-version = "0.1.0"
+version = "0.2.0"
 description = "Simple integration of keras-tuner (hyperparameter tuning) and tensorboard dashboard (interactive visualization)."
 authors = ["tokusumi <[email protected]>"]
 license = "MIT"