Merge branch 'staging' into simonz/build-failure-on-spark3.2

AUTHORS.md

@@ -90,6 +90,8 @@ To contributors: please add your name to the list when you submit a patch to the
    * Improving documentation
    * Quick start notebook
    * Operationalization notebook
+* **[Nile Wilson](https://github.com/niwilso)**
+   * Term Frequency - Inverse Document Frequency (TF-IDF) quickstart, utils
 * **[Pratik Jawanpuria](https://github.com/pratikjawanpuria)**
    * RLRMC algorithm
    * GeoIMC algorithm

recommenders/datasets/pandas_df_utils.py

@@ -129,15 +129,15 @@ class LibffmConverter:
                 'field3': [1.0, 2.0, 3.0, 4.0, 5.0],
                 'field4': ['1', '2', '3', '4', '5']
             })
-        >>> converter = LibffmConveter().fit(df_feature, col_rating='rating')
+        >>> converter = LibffmConverter().fit(df_feature, col_rating='rating')
         >>> df_out = converter.transform(df_feature)
         >>> df_out
             rating field1 field2   field3 field4
-        0       1  1:1:1  2:4:3  3:5:1.0  4:4:1
-        1       0  1:2:1  2:4:4  3:5:2.0  4:5:1
-        2       0  1:3:1  2:4:5  3:5:3.0  4:6:1
-        3       1  1:3:1  2:4:6  3:5:4.0  4:7:1
-        4       1  1:3:1  2:4:7  3:5:5.0  4:8:1
+        0       1  1:1:1  2:4:3  3:5:1.0  4:6:1
+        1       0  1:2:1  2:4:4  3:5:2.0  4:7:1
+        2       0  1:3:1  2:4:5  3:5:3.0  4:8:1
+        3       1  1:3:1  2:4:6  3:5:4.0  4:9:1
+        4       1  1:3:1  2:4:7  3:5:5.0  4:10:1
     """
 
     def __init__(self, filepath=None):

tests/ci/azure_pipeline_test/release_pipeline.yml

@@ -23,7 +23,7 @@ jobs:
     task_name: "Test - Unit Linux CPU"
     conda_env: "release_unit_linux_cpu"
     conda_opts: "python=3.6"
-    pip_opts: "[experimental,dev] --no-cache --no-binary scikit-surprise"
+    pip_opts: "[experimental,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not notebooks and not spark and not gpu"
     install: "release"
     package: "publish" 
@@ -35,7 +35,7 @@ jobs:
     task_name: "Test - Unit Notebook Linux CPU"
     conda_env: "release_unit_notebook_linux_cpu"
     conda_opts: "python=3.6"
-    pip_opts: "[experimental,examples,dev] --no-cache --no-binary scikit-surprise"
+    pip_opts: "[experimental,examples,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "notebooks and not spark and not gpu"
     install: "release"
 
@@ -93,7 +93,7 @@ jobs:
     timeout: 180 
     conda_env: "release_nightly_linux_cpu"
     conda_opts: "python=3.6"
-    pip_opts: "[experimental,examples,dev] --no-cache --no-binary scikit-surprise"
+    pip_opts: "[experimental,examples,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not spark and not gpu"
     install: "release"