BUG in new tests

CONTRIBUTING.md

@@ -68,8 +68,3 @@ Try to be empathic.
 
 </details>
 
-## Microsoft Contributor License Agreement
-
-Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
-
-When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

README.md

@@ -6,7 +6,7 @@
 
 ## What's New (August, 2023)
 
-We moved to a new organization! Now to access the repo, instead of going to https://github.com/microsoft/recommenders, you need to go to https://github.com/recommenders-team/recommenders. The old URL will still resolve to the new one, but we recommend you to update your bookmarks.
+We moved to a new organization! Now to access the repo, instead of going to https://github.com/microsoft/recommenders, you need to go to https://github.com/recommenders-team/recommenders. The old URL will still resolve to the new one, but we recommend that you update your bookmarks.
 
 Starting with release 0.6.0, Recommenders has been available on PyPI and can be installed using pip! 
 

examples/04_model_select_and_optimize/tuning_spark_als.ipynb

@@ -19,7 +19,7 @@
         {
             "cell_type": "markdown",
             "source": [
-                "Hyperparameter tuning for Spark based recommender algorithm is important to select a model with the optimal performance. This notebook introduces good practices in performing hyperparameter tuning for building recommender models with the utility functions provided in the [Microsoft/Recommenders](https://github.com/Microsoft/Recommenders.git) repository.\n",
+                "Hyperparameter tuning for Spark based recommender algorithm is important to select a model with the optimal performance. This notebook introduces good practices in performing hyperparameter tuning for building recommender models with the utility functions provided in the [Microsoft/Recommenders](https://github.com/recommenders-team/recommenders.git) repository.\n",
                 "\n",
                 "Three different approaches are introduced and comparatively studied.\n",
                 "* Spark native/custom constructs (`ParamGridBuilder`, `TrainValidationSplit`).\n",

setup.py

@@ -60,7 +60,7 @@
 extras_require = {
     "gpu": [
         "nvidia-ml-py3>=7.352.0",
-        # TensorFlow compiled with CUDA 11.2, cudnn 8.1
+        # TensorFlow compiled with CUDA 11.2, CuDNN 8.1
         "tensorflow~=2.6.1;python_version=='3.6'",
         "tensorflow~=2.7.0;python_version>='3.7'",
         "tf-slim>=1.1.0",
@@ -105,9 +105,9 @@
     url="https://github.com/recommenders-team/recommenders",
     project_urls={
         "Documentation": "https://microsoft-recommenders.readthedocs.io/en/stable/",
-        "Wiki": "https://github.com/microsoft/recommenders/wiki",
+        "Wiki": "https://github.com/recommenders-team/recommenders/wiki",
     },
-    author="RecoDev Team at Microsoft",
+    author="Recommenders contributors",
     author_email="RecoDevTeam@service.microsoft.com",
     classifiers=[
         "Development Status :: 5 - Production/Stable",

tests/ci/azureml_tests/submit_groupwise_azureml_pytest.py

@@ -209,7 +209,7 @@ def create_run_config(
         reco_extras = reco_extras + ",spark"
 
     conda_dep.add_pip_package(
-        f"recommenders[{reco_extras}]@git+https://github.com/microsoft/recommenders.git@{commit_sha}"
+        f"recommenders[{reco_extras}]@git+https://github.com/recommenders-team/recommenders.git@{commit_sha}"
     )
 
     run_azuremlcompute.environment.python.conda_dependencies = conda_dep

tests/ci/azureml_tests/test_groups.py

@@ -51,9 +51,9 @@
         "tests/functional/examples/test_notebooks_python.py::test_lightfm_functional",
     ],
     "group_cpu_003": [  # Total group time: 2253s
-        "tests/data_validation/recommenders/dataset/test_criteo.py::test_download_criteo_sample",  # 1.05s
-        "tests/data_validation/recommenders/dataset/test_criteo.py::test_extract_criteo_sample",  # 1.22s
-        "tests/data_validation/recommenders/dataset/test_criteo.py::test_criteo_load_pandas_df_sample",  # 1.73s
+        "tests/data_validation/recommenders/datasets/test_criteo.py::test_download_criteo_sample",  # 1.05s
+        "tests/data_validation/recommenders/datasets/test_criteo.py::test_extract_criteo_sample",  # 1.22s
+        "tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_pandas_df_sample",  # 1.73s
         "tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_pandas_df_full",  # 1368.63s
         #
         "tests/smoke/examples/test_notebooks_python.py::test_sar_single_node_smoke",  # 12.58s
@@ -145,7 +145,7 @@
     "group_spark_001": [  # Total group time: 987.16s
         "tests/data_validation/recommenders/datasets/test_movielens.py::test_load_spark_df",  # 4.33s+ 25.58s + 101.99s + 139.23s
         #
-        "tests/data_validation/recommenders/dataset/test_criteo.py::test_criteo_load_spark_df_sample",  # 6.83s
+        "tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_spark_df_sample",  # 6.83s
         "tests/data_validation/recommenders/datasets/test_criteo.py::test_criteo_load_spark_df_full",  # 374.64s
         #
         "tests/smoke/examples/test_notebooks_pyspark.py::test_mmlspark_lightgbm_criteo_smoke",  # 32.45s

tests/data_validation/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/data_validation/examples/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/data_validation/recommenders/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/data_validation/recommenders/datasets/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/functional/examples/test_notebooks_python.py

@@ -261,6 +261,7 @@ def test_geoimc_functional(notebooks, output_notebook, kernel_name, expected_val
 
 @pytest.mark.notebooks
 @pytest.mark.experimental
+@pytest.mark.skip(reason="xLearn pip package has installation incompatibilities")
 def test_xlearn_fm_functional(notebooks, output_notebook, kernel_name):
     notebook_path = notebooks["xlearn_fm_deep_dive"]
     pm.execute_notebook(

tests/integration/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/integration/recommenders/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/integration/recommenders/utils/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/performance/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/performance/recommenders/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/performance/recommenders/evaluation/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/regression/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/responsible_ai/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/responsible_ai/recommenders/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/responsible_ai/recommenders/datasets/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tests/security/__init__.py

@@ -0,0 +1 @@
+# Needed to execute the AzureML tests

tools/docker/README.md

@@ -86,7 +86,7 @@ docker run -it recommenders:cpu bash -c 'pip install pytest; \
 pip install pytest-cov; \
 pip install pytest-mock; \
 apt-get install -y git; \
-git clone https://github.com/microsoft/recommenders.git; \
+git clone https://github.com/recommenders-team/recommenders.git; \
 cd recommenders; \
 pytest tests/unit -m "not spark and not gpu and not notebooks and not experimental"'
 ```