Retry CI tests on failure, bump version to 0.1.1, fix error caused by xgboost==1.5.0 (#14)

* Retry tests on failure

* Retry examples on failure

* Fix sklearn

* Bump version

Author: Yard1

.github/workflows/test.yaml

@@ -30,7 +30,7 @@ jobs:
 
   test_linux_ray_master:
     runs-on: ubuntu-latest
-    timeout-minutes: 40
+    timeout-minutes: 100
     strategy:
       matrix:
         python-version: [3.6.9, 3.7, 3.8]
@@ -60,15 +60,21 @@ jobs:
       run: |
         ./lightgbm_ray/tests/env_info.sh
     - name: Run tests
-      run: |
-        bash ./run_ci_tests.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_tests.sh
     - name: Run examples
-      run: |
-        bash ./run_ci_examples.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_examples.sh
 
   test_linux_ray_release:
     runs-on: ubuntu-latest
-    timeout-minutes: 40
+    timeout-minutes: 100
     strategy:
       matrix:
         python-version: [3.6.9, 3.7, 3.8]
@@ -91,17 +97,23 @@ jobs:
       run: |
         ./lightgbm_ray/tests/env_info.sh
     - name: Run tests
-      run: |
-        bash ./run_ci_tests.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_tests.sh
     - name: Run examples
-      run: |
-        bash ./run_ci_examples.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_examples.sh
 
   test_linux_compat:
     # Test compatibility when some optional libraries are missing
     # Test runs on latest ray release
     runs-on: ubuntu-latest
-    timeout-minutes: 40
+    timeout-minutes: 100
     strategy:
       matrix:
         python-version: [3.6.9, 3.7, 3.8]
@@ -129,16 +141,22 @@ jobs:
       run: |
         ./lightgbm_ray/tests/env_info.sh
     - name: Run tests
-      run: |
-        bash ./run_ci_tests.sh --no-tune
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_tests.sh --no-tune
     - name: Run examples
-      run: |
-        bash ./run_ci_examples.sh --no-tune
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_examples.sh --no-tune
 
   test_linux_cutting_edge:
     # Tests on cutting edge, i.e. latest Ray master, latest LightGBM master
     runs-on: ubuntu-latest
-    timeout-minutes: 40
+    timeout-minutes: 100
     strategy:
       matrix:
         python-version: [3.6.9, 3.7, 3.8]
@@ -185,8 +203,14 @@ jobs:
       run: |
         ./lightgbm_ray/tests/env_info.sh
     - name: Run tests
-      run: |
-        bash ./run_ci_tests.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_tests.sh
     - name: Run examples
-      run: |
-        bash ./run_ci_examples.sh
+      uses: nick-invision/retry@v2
+      with:
+        timeout_minutes: 30
+        max_attempts: 3
+        command: bash ./run_ci_examples.sh

lightgbm_ray/__init__.py

@@ -5,7 +5,7 @@
 
 from lightgbm_ray.sklearn import RayLGBMClassifier, RayLGBMRegressor
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 
 __all__ = [
     "__version__", "RayParams", "RayDMatrix", "RayDeviceQuantileDMatrix",

lightgbm_ray/sklearn.py

@@ -139,7 +139,7 @@ def _ray_fit(self,
             eval_init_score)
 
         if train_dmatrix is None:
-            train_dmatrix, evals = _wrap_evaluation_matrices(
+            wrap_evaluation_matrices_kwargs = dict(
                 missing=None,
                 X=X,
                 y=y,
@@ -158,6 +158,16 @@ def _ray_fit(self,
                     **kwargs,
                     **ray_dmatrix_params
                 }))
+            try:
+                train_dmatrix, evals = _wrap_evaluation_matrices(
+                    **wrap_evaluation_matrices_kwargs)
+            except TypeError as e:
+                if "enable_categorical" in str(e):
+                    train_dmatrix, evals = _wrap_evaluation_matrices(
+                        **wrap_evaluation_matrices_kwargs,
+                        enable_categorical=False)
+                else:
+                    raise e
 
         eval_names = eval_names or []
 

setup.py

@@ -3,10 +3,10 @@
 setup(
     name="lightgbm_ray",
     packages=find_packages(where=".", include="lightgbm_ray*"),
-    version="0.1.0",
+    version="0.1.1",
     author="Ray Team",
     description="A Ray backend for distributed LightGBM",
     long_description="A distributed backend for LightGBM built on top of "
     "distributed computing framework Ray.",
     url="https://github.com/ray-project/lightgbm_ray",
-    install_requires=["lightgbm>=3.2.1", "xgboost_ray>=0.1.3"])
+    install_requires=["lightgbm>=3.2.1", "xgboost_ray>=0.1.4"])