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The following commit(s) were added to refs/heads/master by this push:
     new 8dcdac234ba [SPARK-46005][INFRA] Upgrade `scikit-learn` to 1.3.2 and 
`mlflow` to 2.8.1
8dcdac234ba is described below

commit 8dcdac234ba9c9c9cb80b8a8cc1beab17412fbb8
Author: Ruifeng Zheng <ruife...@apache.org>
AuthorDate: Mon Nov 20 08:36:00 2023 -0800

    [SPARK-46005][INFRA] Upgrade `scikit-learn` to 1.3.2 and `mlflow` to 2.8.1
    
    ### What changes were proposed in this pull request?
    1, upgrade `scikit-learn` to the latest 1.3.2
    2, sepcify the lower bound of `mlflow` (`mlflow==2.8.1` was already used in 
CI)
    
    ### Why are the changes needed?
    `scikit-learn` was pinned in https://github.com/apache/spark/pull/39467 due 
to a [mlflow 
issue](https://github.com/apache/spark/pull/39467#issuecomment-1376753692)
    
    seems it has been already fixed
    
    ### Does this PR introduce _any_ user-facing change?
    no
    
    ### How was this patch tested?
    ci
    
    ### Was this patch authored or co-authored using generative AI tooling?
    no
    
    Closes #43905 from zhengruifeng/infra_upgrade_sklearn.
    
    Authored-by: Ruifeng Zheng <ruife...@apache.org>
    Signed-off-by: Dongjoon Hyun <dh...@apple.com>
---
 dev/infra/Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index 3aac09aa5c1..141c079f393 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -93,7 +93,7 @@ RUN Rscript -e "devtools::install_version('preferably', 
version='0.4', repos='ht
 ENV R_LIBS_SITE 
"/usr/local/lib/R/site-library:${R_LIBS_SITE}:/usr/lib/R/library"
 
 RUN pypy3 -m pip install numpy 'pandas<=2.1.3' scipy coverage matplotlib
-RUN python3.9 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
+RUN python3.9 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.8.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn>=1.3.2'
 
 # Add Python deps for Spark Connect.
 RUN python3.9 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 
'protobuf==4.25.1' 'googleapis-common-protos==1.56.4'
@@ -110,7 +110,7 @@ RUN apt-get update && apt-get install -y \
     python3.10 python3.10-distutils \
     && rm -rf /var/lib/apt/lists/*
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10
-RUN python3.10 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
+RUN python3.10 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.8.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn>=1.3.2'
 RUN python3.10 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 
'protobuf==4.25.1' 'googleapis-common-protos==1.56.4'
 RUN python3.10 -m pip install 'torch<=2.0.1' torchvision --index-url 
https://download.pytorch.org/whl/cpu
 RUN python3.10 -m pip install torcheval
@@ -122,7 +122,7 @@ RUN apt-get update && apt-get install -y \
     python3.11 python3.11-distutils \
     && rm -rf /var/lib/apt/lists/*
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.11
-RUN python3.11 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.3.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn==1.1.*'
+RUN python3.11 -m pip install numpy 'pyarrow>=14.0.0' 'pandas<=2.1.3' scipy 
unittest-xml-reporting plotly>=4.8 'mlflow>=2.8.1' coverage matplotlib openpyxl 
'memory-profiler==0.60.0' 'scikit-learn>=1.3.2'
 RUN python3.11 -m pip install 'grpcio>=1.48,<1.57' 'grpcio-status>=1.48,<1.57' 
'protobuf==4.25.1' 'googleapis-common-protos==1.56.4'
 RUN python3.11 -m pip install 'torch<=2.0.1' torchvision --index-url 
https://download.pytorch.org/whl/cpu
 RUN python3.11 -m pip install torcheval


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