1.1.0rc0

What's Changed

• Support HyperModel.fit() to tune the fit process.
• Support Tuner.run_trial() to return a single float as the objective value to minimize.
• Support Tuner.run_trial() to return a dictionary of {metric_name: value} or Keras history.
• Allow not providing hypermodel to Tuner if override Tuner.run_trial().
• Allow not providing objective to Tuner if HyperModel.fit() or Tuner.run_trial() return a single float.
• Bug fixes

Breaking Changes

• Change internal class MultiExecutionTuner to Tuner to replace all overridden methods.
• Removed KerasHyperModel an internal class to wrap the user provided HyperModel.

New Contributors

• @liqiongyu made their first contribution in #594
• @vardhanaleti made their first contribution in #595
• @howl-anderson made their first contribution in #607

Full Changelog: 1.0.4...1.1.0rc0