python dev/update_ml_package_versions.py (mlflow#5413)

Signed-off-by: Jenkins <jenkins@databricks.com>

Co-authored-by: Jenkins <jenkins@databricks.com>

mlflow/ml-package-versions.yml

@@ -28,7 +28,7 @@ pytorch:
 
   models:
     minimum: "1.4.0"
-    maximum: "1.10.1"
+    maximum: "1.10.2"
     requirements: ["torchvision", "scikit-learn", "transformers"]
     run: |
       pytest tests/pytorch/test_pytorch_model_export.py --large
@@ -41,7 +41,7 @@ pytorch-lightning:
 
   autologging:
     minimum: "1.0.5"
-    maximum: "1.5.9"
+    maximum: "1.5.10"
     requirements: ["torchvision", "scikit-learn"]
     run: |
       pytest tests/pytorch/test_pytorch_autolog.py --large
@@ -54,7 +54,7 @@ tensorflow:
 
   models:
     minimum: "2.0.0"
-    maximum: "2.7.0"
+    maximum: "2.8.0"
     requirements:
       "< 2.2": ["h5py<3.0", "scikit-learn"]
       # Requirements to run tests for keras
@@ -70,7 +70,7 @@ tensorflow:
 
   autologging:
     minimum: "2.0.0"
-    maximum: "2.7.0"
+    maximum: "2.8.0"
     requirements:
       "< 2.2": ["h5py<3.0"]
       "== dev": ["scikit-learn"]
@@ -87,7 +87,7 @@ keras:
 
   models:
     minimum: "2.3.0"
-    maximum: "2.7.0"
+    maximum: "2.8.0"
     requirements:
       "<= 2.3.1": ["tensorflow==2.2.1", "scikit-learn", "pyspark", "pyarrow", "transformers<=4.11.3"]
       "> 2.3.1, < 2.6.0": ["tensorflow<2.5.0", "scikit-learn", "pyspark", "pyarrow", "transformers"]
@@ -97,7 +97,7 @@ keras:
 
   autologging:
     minimum: "2.3.0"
-    maximum: "2.7.0"
+    maximum: "2.8.0"
     requirements:
       # keras 2.3.1 is incompatible with tensorflow > 2.2.1 and causes the issue reported here:
       # https://github.com/tensorflow/tensorflow/issues/38589
@@ -229,7 +229,7 @@ onnx:
 
   models:
     minimum: "1.5.0"
-    maximum: "1.10.2"
+    maximum: "1.11.0"
     requirements: ["onnxruntime", "torch", "scikit-learn"]
     run: |
       pytest tests/onnx/test_onnx_model_export.py --large
@@ -242,7 +242,7 @@ spacy:
 
   models:
     minimum: "2.2.4"
-    maximum: "3.2.1"
+    maximum: "3.2.2"
     requirements: ["scikit-learn"]
     run: |
       pytest tests/spacy/test_spacy_model_export.py --large
@@ -255,13 +255,13 @@ statsmodels:
 
   models:
     minimum: "0.11.1"
-    maximum: "0.13.1"
+    maximum: "0.13.2"
     run: |
       pytest tests/statsmodels/test_statsmodels_model_export.py --large
 
   autologging:
     minimum: "0.11.1"
-    maximum: "0.13.1"
+    maximum: "0.13.2"
     run: |
       pytest tests/statsmodels/test_statsmodels_autolog.py --large