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ray-project
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xgboost_ray
Distributed XGBoost on Ray
Apache License 2.0
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Bump to 0.1.5 for future development
#163
krfricke
closed
3 years ago
0
Don't require dask installed for data type check
#162
krfricke
closed
3 years ago
0
Move to new Ray Data to/from_pandas API
#161
krfricke
closed
3 years ago
0
placement_group_capture_child_tasks should be False
#160
krfricke
opened
3 years ago
0
Remove optional dependency
#159
Yard1
closed
3 years ago
0
Add API annotations
#158
krfricke
closed
3 years ago
0
Optional import fix
#157
Yard1
closed
3 years ago
1
Fix xgboost-ray[default] git install
#156
Yard1
closed
3 years ago
0
Bump to 0.1.4 for future development
#155
krfricke
closed
3 years ago
0
Remove usage of deprecated ray.services.get_node_ip_address
#154
edoakes
closed
3 years ago
1
Supporting __partitioned__ interface
#153
fschlimb
closed
3 years ago
4
Support for __partitioned__ as data source
#152
fschlimb
closed
3 years ago
0
Make xgboost an extra dependency
#151
Yard1
closed
3 years ago
2
Ensure that Dask Scheduler is set for Ray-on-Dask
#150
ijrsvt
closed
3 years ago
1
Fix resource detection + better fallback, complain about unset num_actors
#149
krfricke
closed
3 years ago
0
Validate `train` kwargs
#148
Yard1
closed
3 years ago
1
Fix cluster resource detection in multi-node clusters for number_actors < number_nodes
#147
krfricke
closed
3 years ago
5
Remove default value for num_actors
#146
krfricke
closed
3 years ago
0
Update Ray Datasets import
#145
Yard1
closed
3 years ago
0
Compare with get_dump() instead of save_raw()
#144
krfricke
closed
3 years ago
0
Placement group capture child tasks
#143
Yard1
closed
3 years ago
0
Support constraints in elastic FT training
#142
krfricke
opened
3 years ago
0
Add the ray dataset example to test_client
#141
Yard1
closed
3 years ago
0
Add support for Ray Datasets
#140
krfricke
closed
3 years ago
1
Support object store references as data source
#139
krfricke
closed
3 years ago
0
Train from data already loaded in the ray plasma store
#138
richardliaw
closed
3 years ago
0
Fix sklearn docs rendering
#137
Yard1
closed
3 years ago
0
fix placement group timeout behavior
#136
matthewdeng
closed
3 years ago
4
Bump to 0.1.3 for future development
#135
krfricke
closed
3 years ago
0
`predict` on distributed `RayDMatrix` that was already used for training fails
#134
Yard1
opened
3 years ago
3
Modin from numpy/pandas fails
#133
Yard1
opened
3 years ago
0
Better algorithm for batch sharding indices
#132
Yard1
closed
3 years ago
0
Batch sharing on release test with 16 workers throws an exception
#131
Yard1
closed
3 years ago
0
Fix backwards compatibility check for 1.4.1 compatibility
#130
krfricke
closed
3 years ago
0
Pin tensorboardX for CI
#129
Yard1
closed
3 years ago
0
Replace some logger warnings with user warnings
#128
Yard1
closed
3 years ago
0
Execution hangs with warning when Modin DataFrames as input data are used
#127
prutskov
opened
3 years ago
3
Enable passing of RayDMatrix to sklearn API
#126
Yard1
closed
3 years ago
1
Add `ray_dmatrix_params` to sklearn API
#125
Yard1
closed
3 years ago
0
Bump to 0.1.2 for development
#124
krfricke
closed
3 years ago
0
Fix BATCH sharding
#123
Yard1
closed
3 years ago
0
[rfc] Change default value of placement group from None to "default"
#122
scv119
closed
3 years ago
2
Support modin 0.10.0
#121
amogkam
closed
3 years ago
0
Separate out `_RayXGBoostActor`
#120
Yard1
closed
3 years ago
0
Add support for `groups` param for ranking to `RayDMatrix`
#119
Yard1
closed
1 year ago
5
Fix `num_threads` param, check for `n_jobs` param
#118
Yard1
closed
3 years ago
0
Increase test timeout limits
#117
krfricke
closed
3 years ago
1
Incompatibility with Modin 0.10.0 DataFrame
#116
matthewdeng
closed
3 years ago
0
fix RayParam resource population
#115
kyle-chen-uber
closed
3 years ago
5
Small fix to `_validate_ray_params`
#114
Yard1
closed
3 years ago
0
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