0.6 release notice fix
## Major Features And Improvements
- Industry fastest [applier implementation](https://tech.yandex.com/catboost/doc/dg/concepts/c-plus-plus-api-docpage/#c-plus-plus-api).
- Introducing new parameter [`boosting-type`](https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_parameters-list-docpage/) to switch between standard boosting scheme and dynamic boosting, described in paper ["Dynamic boosting"](https://arxiv.org/abs/1706.09516).
-- Adding new [bootstrap types](https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_parameters-list-docpage/) `bootstrap_type`, `sample_rate`, `sampling_frequency`.
+- Adding new [bootstrap types](https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_parameters-list-docpage/) `bootstrap_type`, `subsample`. Using `Bernoulli` bootstrap type with `subsample < 1` might increase the training speed.
- Better logging for cross-validation, added [parameter](https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_cv-docpage/) `logging_level` and `metric_period` (should be set in training parameters) to cv.
- Added a separate `train` [function](https://tech.yandex.com/catboost/doc/dg/concepts/python-reference_train-docpage/) that receives the parameters and returns a trained model.
- Ranking mode `QueryRMSE` now supports default settings for dynamic boosting.
- R-package pre-build binaries are included into release.
- We added many synonyms to our parameter names, now it is more convenient to try CatBoost if you are used to some other library.
-##Breaking Changes
-- Parameter `sample_rate` is renamed to `subsample`.
-
## Bug Fixes and Other Changes
-- Fix for CPU QueryRMSE with weights.
+- Fix for CPU `QueryRMSE` with weights.
- Adding several missing parameters into wrappers.
- Fix for data split in querywise modes.
- Better logging.
- From this release we'll provide pre-build R-binaries
- More parallelisation.
- Memory usage improvements.
-* And some other bug fixes.
+- And some other bug fixes.
## Thanks to our Contributors
This release contains contributions from CatBoost team.
