Add supporting sklearn=0.23.2 for nni (microsoft#2777)

azure-pipelines.yml

@@ -141,7 +141,7 @@ jobs:
       powershell.exe -file install.ps1
     displayName: 'Install nni toolkit via source code'
   - script: |
-      python -m pip install scikit-learn==0.20.0 --user
+      python -m pip install scikit-learn==0.23.2 --user
       python -m pip install keras==2.1.6 --user
       python -m pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html --user
       python -m pip install tensorflow==1.15.2 --user

deployment/docker/Dockerfile

@@ -60,9 +60,9 @@ RUN python3 -m pip --no-cache-dir install torch==1.4.0
 RUN python3 -m pip install torchvision==0.5.0
 
 #
-# sklearn 0.20.0
+# sklearn 0.23.2
 #
-RUN python3 -m pip --no-cache-dir install scikit-learn==0.20.0
+RUN python3 -m pip --no-cache-dir install scikit-learn==0.23.2
 
 #
 # pandas==0.23.4 lightgbm==2.2.2

deployment/docker/README.md

@@ -11,7 +11,7 @@ scipy 1.1.0
 tensorflow-gpu 1.15.0
 keras 2.1.6
 torch 1.4.0
-scikit-learn 0.20.0
+scikit-learn 0.23.2
 pandas 0.23.4
 lightgbm 2.2.2
 nni

deployment/docker/README_zh_CN.md

@@ -47,4 +47,4 @@
 
 使用下列命令从 docker Hub 中拉取 NNI docker 映像。
 
-    docker pull msranni/nni:latest
+    docker pull msranni/nni:latest

deployment/pypi/setup.py

@@ -63,7 +63,7 @@
         'scipy',
         'coverage',
         'colorama',
-        'scikit-learn>=0.20,<0.22',
+        'scikit-learn>=0.23.2',
         'pkginfo',
         'websockets'
     ],

docs/requirements.txt

@@ -13,6 +13,6 @@ peewee
 nbsphinx
 schema
 tensorboard
-scikit-learn==0.20
+scikit-learn>=0.23.2
 thop
 https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-linux_x86_64.whl

setup.py

@@ -41,7 +41,7 @@ def read(fname):
         'schema',
         'PythonWebHDFS',
         'colorama',
-        'scikit-learn>=0.20,<0.22',
+        'scikit-learn>=0.23.2',
         'pkginfo',
         'websockets'
     ],

src/sdk/pynni/nni/feature_engineering/gradient_selector/gradient_selector.py

@@ -24,7 +24,7 @@
 import pandas as pd
 
 from sklearn.base import BaseEstimator
-from sklearn.feature_selection.base import SelectorMixin
+from sklearn.feature_selection import SelectorMixin
 from sklearn.utils.validation import check_is_fitted
 
 import torch

src/sdk/pynni/nni/feature_engineering/gradient_selector/requirements.txt

@@ -1,4 +1,4 @@
 numpy==1.14.3
-scikit-learn==0.20.0
+scikit-learn>=0.23.2
 scipy==1.1.0
 torch==1.1.0

src/sdk/pynni/nni/metis_tuner/requirments.txt

@@ -1 +1 @@
-scikit-learn==0.20
+scikit-learn>=0.23.2

src/sdk/pynni/requirements.txt

@@ -8,4 +8,4 @@ scipy
 hyperopt==0.1.2
 
 # metis tuner
-scikit-learn==0.20
+scikit-learn>=0.23.2

test/pipelines/pipelines-it-local-tf2.yml

@@ -10,7 +10,7 @@ jobs:
     displayName: 'Install nni toolkit via source code'
   - script: |
       set -e
-      python3 -m pip install scikit-learn==0.20.0 --user
+      python3 -m pip install scikit-learn==0.23.2 --user
       python3 -m pip install torch==1.3.1 torchvision==0.4.2 -f https://download.pytorch.org/whl/torch_stable.html --user
       python3 -m pip install tensorflow-gpu==2.2.0 tensorflow-estimator==2.2.0 --force --user
       python3 -m pip install keras==2.4.2 --user

test/pipelines/pipelines-it-local-windows.yml

@@ -7,7 +7,7 @@ jobs:
       powershell.exe -file install.ps1
     displayName: 'Install nni toolkit via source code'
   - script: |
-      python -m pip install scikit-learn==0.20.0 --user
+      python -m pip install scikit-learn==0.23.2 --user
       python -m pip install keras==2.1.6 --user
       python -m pip install torchvision===0.4.1 torch===1.3.1 -f https://download.pytorch.org/whl/torch_stable.html --user
       python -m pip install tensorflow-gpu==1.15.2 tensorflow-estimator==1.15.1 --force --user

test/pipelines/pipelines-it-local.yml

@@ -10,7 +10,7 @@ jobs:
     displayName: 'Install nni toolkit via source code'
   - script: |
       set -e
-      python3 -m pip install scikit-learn==0.20.0 --user
+      python3 -m pip install scikit-learn==0.23.2 --user
       python3 -m pip install torchvision==0.4.2 --user
       python3 -m pip install torch==1.3.1 --user
       python3 -m pip install keras==2.1.6 --user

test/pipelines/pipelines-it-pai-windows.yml

@@ -62,7 +62,7 @@ jobs:
     displayName: 'Install nni toolkit via source code'
   - script: |
       set PATH=$(ENV_PATH)
-      python -m pip install scikit-learn==0.21.0 --user
+      python -m pip install scikit-learn==0.23.2 --user
     displayName: 'Install dependencies for integration tests'
   - script: |
       cd test
@@ -71,4 +71,4 @@ jobs:
       mount -o anon $(pai_nfs_uri) $(local_nfs_uri)
       python nni_test/nnitest/generate_ts_config.py --ts pai --pai_token $(pai_token) --pai_host $(pai_host) --pai_user $(pai_user) --nni_docker_image $(docker_image) --pai_storage_config_name $(pai_storage_config_name) --nni_manager_nfs_mount_path $(nni_manager_nfs_mount_path) --container_nfs_mount_path $(container_nfs_mount_path) --nni_manager_ip $(nni_manager_ip) --vc $(virtual_cluster)
       python nni_test/nnitest/run_tests.py --config config/integration_tests.yml --ts pai
-    displayName: 'Examples and advanced features tests on pai'
+    displayName: 'Examples and advanced features tests on pai'

test/pipelines/pipelines-it-remote-windows-to-linux.yml

@@ -16,7 +16,7 @@ jobs:
       powershell.exe -file install.ps1
     displayName: 'Install nni toolkit via source code'
   - script: |
-      python -m pip install scikit-learn==0.20.1 --user
+      python -m pip install scikit-learn==0.23.2 --user
     displayName: 'Install dependencies for integration tests'
   - task: SSH@0
     inputs: