* Embedded timeline
* Yeah
* Fixed arrows not showing up.
* Fixed arrows not showing up, and added check boxes for the kinds of dependencies that should be included in the trace.
* first
* Fixes
* Fixed typo in comments, added more comments. fixed linting.
* Added more comments.
* Formatting.
* fixes
* Fixed state.py linting.
* Fixed ui.py linting errors.
* Fixed linting errors.
* Renamed task dependencies and included instructions for viewing arrows.
* Fixed according to PR comments.
* Fixed bug.
* Undid changes to metadata blocks.
* Fixes according to comments.
* Fixed linting.
* Fixed linting.
* NOQA keyword added to link line.
* adding support for the user-interpretable label(UIR)
* more plumbing for num_uirs further upstream; set to infty when specified on cmd line
* pass default num_uirs for actors; update GlobalStateAPI
* support num_uirs in ray.init()
* local scheduler resource accounting: support num_uirs; prep for vectorized resource accounting
* global scheduler test updated
* Fix bug introduced by rebase.
* Rename UIR -> CustomResource and add test.
* Small changes and use constexpr instead of macros.
* Linting and some renaming.
* Reorder some code.
* Remove cpus_in_use and fix bug.
* Add another test and make a small change.
* Rephrase documentation about feature stability.
* Rough pass at installing pyarrow along with Ray.
* Remove hardcoded path and try to find correct path automatically.
* Add print.
* Fix linting.
* Copy pyarrow files to a location that we manually add to python path in order to avoid interfering with pre-existing pyarrow installations.
* Move call to build.sh back into build_ext in setup.py.
* Ignore some linting errors.
* Fix problem in which pyarrow files to copy were listed before they were built.
* Fix tests by importing ray before pyarrow.
* Initial testing of checkpointing functions.
* Save checkpoints in Redis.
* Pipe checkpoint_interval through remote decorator.
* Add a test.
* Small cleanups.
* Submit dummy tasks when reconstructing tasks before the most recent tasks so that we don't end up reconstructing the arguments for those tasks.
* Remove old checkpoints to save space.
* Fix linting.
* batch small rollouts together
* implement minimum number of samples for each task
* add total time
* fix linting
* style
* fix
* factor out parameters and document stuff
* add rollout batchsize
* address comments
* linting
* small fix
* Reconstruct actor state when local schedulers fail.
* Simplify construction of arguments to pass into default_worker.py from local scheduler.
* Remove deprecated ray.actor.
* Simplify actor reconstruction method.
* Fix linting.
* Small fixes.
* Rebase Ray on top of Plasma in Apache Arrow
* add thirdparty building scripts
* use rebased arrow
* fix
* fix build
* fix python visibility
* comment out C tests for now
* fix multithreading
* fix
* reduce logging
* fix plasma manager multithreading
* make sure old and new object IDs can coexist peacefully
* more rebasing
* update
* fixes
* fix
* install pyarrow
* install cython
* fix
* install newer cmake
* fix
* rebase on top of latest arrow
* getting runtest.py run locally (needed to comment out a test for that to work)
* work on plasma tests
* more fixes
* fix local scheduler tests
* fix global scheduler test
* more fixes
* fix python 3 bytes vs string
* fix manager tests valgrind
* fix documentation building
* fix linting
* fix c++ linting
* fix linting
* add tests back in
* Install without sudo.
* Set PKG_CONFIG_PATH in build.sh so that Ray can find plasma.
* Install pkg-config
* Link -lpthread, note that find_package(Threads) doesn't seem to work reliably.
* Comment in testGPUIDs in runtest.py.
* Set PKG_CONFIG_PATH when building pyarrow.
* Pull apache/arrow and not pcmoritz/arrow.
* Fix installation in docker image.
* adapt to changes of the plasma api
* Fix installation of pyarrow module.
* Fix linting.
* Use correct python executable to build pyarrow.
* Make local scheduler start workers using the same version of Python that was used to start the local scheduler.
* Use current version of python to start new processes instead of hardcoded python executable.
* Fix linting.
* Test example applications in Jenkins.
* Fix default upload_dir argument for Algorithm class.
* Fix evolution strategies.
* Comment out policy gradient example which doesn't seem to work.
* Set --env-name for evolution strategies.
* 4 space indentation for actor.py.
* 4 space indentation for worker.py.
* 4 space indentation for more files.
* 4 space indentation for some test files.
* Check indentation in Travis.
* 4 space indentation for some rl files.
* Fix failure test.
* Fix multi_node_test.
* 4 space indentation for more files.
* 4 space indentation for remaining files.
* Fixes.
* write config to s3
* add train file
* write performance to S3
* writing needs to be fixed, replacing result.json at the moment
* update
* add experiment_id
* more logging and example queries
* update
* add info
* fill in other algorithms
* fix linting
* convert readme to rst
* fixes
* simplejson -> json
* make files executable
* edit README.rst
* unify storing logs in S3 and on local filesystem
* use 'info' entry in TrainingResult for algorithm specific info
* don't install smart_open with ray
* fixes
* linting fixes
* Updated task_profiles function to avoid future repetitive parsing.
* Fix indentation.
* Fixed according to comments.
* Included updated test for task_profiles function.
* Simplify test.
* Fix indentation.
* Fix.
* Start up webui on ray.init
* Removed .ipynb checkpoint folders.
* Removed print statements in cleanup function.
* Fixed
* Removed extra file.
* Cleaned up ui.
* Don't start browser automatically in ray.init(), also copy the notebook every time so that changes don't persist.
* Update setup.py and installation instructions to install jupyter.
* Don't automatically install jupyter, don't start the UI if jupyter is not installed.
* Improve error message when failing to start UI.
* Divide large get requests into smaller chunks.
* Divide fetches into smaller chunks.
* Wait longer in worker and manager before reissuing fetch requests if there are many outstanding fetch requests.
* Log warning if a handler in the local scheduler or plasma manager takes more than one second.
* added log_table function and a test
* fixed log_files and added task_profiles
* fixed formatting
* fixed linting errors
* fixes
* removed file
* more fixes
* hopefully fixed
* Small changes.
* Fix linting.
* Fix bug in log monitor.
* Small changes.
* Fix bug in travis.
* Including data_size and hash in the ResultTableReply.
* Included data_size and hash info in object_table.
* Fixed bugs in ray_redis_module.cc.
* Removing commented out code.
* Fixes
* Freed hash and data_size strings after using, and checked if they're null along with task_id and is_put.
* Changed it so that data_size is set correctly.
* Removed iostream import.
* Included a check to ensure that the Redis string to long long conversion was successful.
* Included separate data_size and hash null checks.
* Fixed bug.
* Made linting changes.
* Another linting error.
* Slight simplication.
