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[CI/docs] Remove [default] from xgboost-ray (#19186)
Co-authored-by: Kai Fricke <kai@anyscale.com>
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parent
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commit
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15 changed files with 18 additions and 18 deletions
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@ -42,7 +42,7 @@ pytest-trio
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pytest-twisted
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werkzeug
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git+git://github.com/ray-project/tune-sklearn@master#tune-sklearn
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git+git://github.com/ray-project/xgboost_ray@master#egg=xgboost_ray[default]
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git+git://github.com/ray-project/xgboost_ray@master#egg=xgboost_ray
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scikit-optimize
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tensorflow
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gym
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@ -21,4 +21,4 @@ available_node_types:
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head_node_type: 16_cpu_node
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setup_commands:
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- pip install -U jupyter ray[tune] xgboost_ray[default] dask pandas
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- pip install -U jupyter ray[tune] xgboost_ray dask pandas
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@ -21,4 +21,4 @@ available_node_types:
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head_node_type: 16_cpu_node
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setup_commands:
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- pip install -U jupyter ray xgboost_ray[default] modin pandas
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- pip install -U jupyter ray xgboost_ray modin pandas
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@ -32,7 +32,7 @@ tabulate
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uvicorn
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werkzeug
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git+git://github.com/ray-project/tune-sklearn@master#tune-sklearn
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git+git://github.com/ray-project/xgboost_ray@master#egg=xgboost_ray[default]
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git+git://github.com/ray-project/xgboost_ray@master#egg=xgboost_ray
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git+git://github.com/ray-project/lightgbm_ray@main#lightgbm_ray
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git+https://github.com/ray-project/ray_lightning#ray_lightning
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scikit-optimize
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@ -37,13 +37,13 @@ You can install the latest XGBoost-Ray release from PIP:
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.. code-block:: bash
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pip install "xgboost_ray[default]"
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pip install "xgboost_ray"
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If you'd like to install the latest master, use this command instead:
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.. code-block:: bash
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pip install "git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray[default]"
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pip install "git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray"
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Usage
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-----
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@ -776,7 +776,7 @@ def test_e2e_complex(call_ray_start, tmp_path):
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"ray[serve, tune]",
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"texthero",
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"PyGithub",
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"xgboost_ray[default]",
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"xgboost_ray",
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"pandas==1.1", # pandas 1.2.4 in the demo, but not supported on py36
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"typer",
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"aiofiles",
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@ -19,7 +19,7 @@ try:
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except ImportError:
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logger.info("xgboost_ray is not installed. Please run "
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"`pip install 'git+https://github.com/ray-project/"
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"xgboost_ray#egg=xgboost_ray[default]'`.")
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"xgboost_ray#egg=xgboost_ray'`.")
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__all__ = [
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"train", "predict", "RayParams", "RayDMatrix", "RayFileType",
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@ -4,6 +4,6 @@
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ray_lightning==0.1.1
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tune-sklearn==0.4.1
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xgboost_ray[default]==0.1.3
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xgboost_ray==0.1.4
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lightgbm_ray==0.0.2
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modin>=0.11.0; python_version >= '3.7'
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@ -6,7 +6,7 @@ debian_packages:
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python:
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pip_packages:
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- pandas>=1.3.0 # otherwise, a version mismatch between local and remote will cause an exception
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- git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray[default]
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- git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray
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- dask
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- fastapi
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- uvicorn
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@ -6,7 +6,7 @@ debian_packages:
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python:
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pip_packages:
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- pandas>=1.3.0 # otherwise, a version mismatch between local and remote will cause an exception
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- git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray[default]
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- git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray
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- modin
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- s3fs
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- fastapi
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@ -1,3 +1,3 @@
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ray[tune]
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xgboost_ray # this should work without [default]
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xgboost_ray
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lightgbm_ray
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@ -12,5 +12,5 @@ python-dotenv
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expiringdict
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requests
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pytz
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git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray[default]
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git+https://github.com/ray-project/xgboost_ray.git#egg=xgboost_ray
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git+https://github.com/ray-project/lightgbm_ray.git#lightgbm_ray
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@ -7,7 +7,7 @@ python:
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pip_packages:
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- pytest
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- awscli
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- xgboost_ray[default]
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- xgboost_ray
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conda_packages: []
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post_build_cmds:
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@ -15,7 +15,7 @@ post_build_cmds:
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- sudo rm -rf /home/ray/anaconda3/lib/python3.7/site-packages/numpy
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- pip3 install numpy || true
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- pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }}
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- pip3 install -U "xgboost_ray[default]" awscli # Install latest releases
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- pip3 install -U "xgboost_ray" awscli # Install latest releases
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- {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
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- sudo mkdir -p /data || true
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- sudo chown ray:1000 /data || true
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@ -6,7 +6,7 @@ debian_packages:
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python:
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pip_packages:
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- pytest
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- xgboost_ray[default]
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- xgboost_ray
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- petastorm
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- tblib
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conda_packages: []
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@ -16,7 +16,7 @@ post_build_cmds:
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- sudo rm -rf /home/ray/anaconda3/lib/python3.7/site-packages/numpy
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- pip3 install numpy || true
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- pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }}
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- pip3 install -U "xgboost_ray[default]" petastorm # Install latest releases
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- pip3 install -U "xgboost_ray" petastorm # Install latest releases
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- {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
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- sudo mkdir -p /data || true
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- sudo chown ray:1000 /data || true
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@ -6,7 +6,7 @@ debian_packages:
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python:
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pip_packages:
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- pytest
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- xgboost_ray[default]
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- xgboost_ray
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- petastorm
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conda_packages: []
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