Merge branch 'release-1.34.47' into develop

* release-1.34.47: Bumping version to 1.34.47 Update to latest models
boto · Feb 21, 2024 · 2cfab30 · 2cfab30
2 parents 021a659 + 3fccda7
commit 2cfab30
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diff --git a/.changes/1.34.47.json b/.changes/1.34.47.json
@@ -0,0 +1,22 @@
+[
+  {
+    "category": "``iotevents``",
+    "description": "Increase the maximum length of descriptions for Inputs, Detector Models, and Alarm Models",
+    "type": "api-change"
+  },
+  {
+    "category": "``lookoutequipment``",
+    "description": "This release adds a field exposing model quality to read APIs for models. It also adds a model quality field to the API response when creating an inference scheduler.",
+    "type": "api-change"
+  },
+  {
+    "category": "``medialive``",
+    "description": "MediaLive now supports the ability to restart pipelines in a running channel.",
+    "type": "api-change"
+  },
+  {
+    "category": "``ssm``",
+    "description": "This release adds support for sharing Systems Manager parameters with other AWS accounts.",
+    "type": "api-change"
+  }
+]
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
@@ -2,6 +2,15 @@
 CHANGELOG
 =========
 
+1.34.47
+=======
+
+* api-change:``iotevents``: Increase the maximum length of descriptions for Inputs, Detector Models, and Alarm Models
+* api-change:``lookoutequipment``: This release adds a field exposing model quality to read APIs for models. It also adds a model quality field to the API response when creating an inference scheduler.
+* api-change:``medialive``: MediaLive now supports the ability to restart pipelines in a running channel.
+* api-change:``ssm``: This release adds support for sharing Systems Manager parameters with other AWS accounts.
+
+
 1.34.46
 =======
 

diff --git a/botocore/__init__.py b/botocore/__init__.py
@@ -16,7 +16,7 @@
 import os
 import re
 
-__version__ = '1.34.46'
+__version__ = '1.34.47'
 
 
 class NullHandler(logging.Handler):

diff --git a/botocore/data/iotevents/2018-07-27/endpoint-rule-set-1.json b/botocore/data/iotevents/2018-07-27/endpoint-rule-set-1.json
@@ -40,7 +40,6 @@
                     ]
                 }
             ],
-            "type": "tree",
             "rules": [
                 {
                     "conditions": [
@@ -83,7 +82,8 @@
                     },
                     "type": "endpoint"
                 }
-            ]
+            ],
+            "type": "tree"
         },
         {
             "conditions": [
@@ -96,7 +96,6 @@
                     ]
                 }
             ],
-            "type": "tree",
             "rules": [
                 {
                     "conditions": [
@@ -110,7 +109,6 @@
                             "assign": "PartitionResult"
                         }
                     ],
-                    "type": "tree",
                     "rules": [
                         {
                             "conditions": [
@@ -133,7 +131,6 @@
                                     ]
                                 }
                             ],
-                            "type": "tree",
                             "rules": [
                                 {
                                     "conditions": [
@@ -168,7 +165,6 @@
                                             ]
                                         }
                                     ],
-                                    "type": "tree",
                                     "rules": [
                                         {
                                             "conditions": [],
@@ -179,14 +175,16 @@
                                             },
                                             "type": "endpoint"
                                         }
-                                    ]
+                                    ],
+                                    "type": "tree"
                                 },
                                 {
                                     "conditions": [],
                                     "error": "FIPS and DualStack are enabled, but this partition does not support one or both",
                                     "type": "error"
                                 }
-                            ]
+                            ],
+                            "type": "tree"
                         },
                         {
                             "conditions": [
@@ -200,14 +198,12 @@
                                     ]
                                 }
                             ],
-                            "type": "tree",
                             "rules": [
                                 {
                                     "conditions": [
                                         {
                                             "fn": "booleanEquals",
                                             "argv": [
-                                                true,
                                                 {
                                                     "fn": "getAttr",
                                                     "argv": [
@@ -216,11 +212,11 @@
                                                         },
                                                         "supportsFIPS"
                                                     ]
-                                                }
+                                                },
+                                                true
                                             ]
                                         }
                                     ],
-                                    "type": "tree",
                                     "rules": [
                                         {
                                             "conditions": [],
@@ -231,14 +227,16 @@
                                             },
                                             "type": "endpoint"
                                         }
-                                    ]
+                                    ],
+                                    "type": "tree"
                                 },
                                 {
                                     "conditions": [],
                                     "error": "FIPS is enabled but this partition does not support FIPS",
                                     "type": "error"
                                 }
-                            ]
+                            ],
+                            "type": "tree"
                         },
                         {
                             "conditions": [
@@ -252,7 +250,6 @@
                                     ]
                                 }
                             ],
-                            "type": "tree",
                             "rules": [
                                 {
                                     "conditions": [
@@ -272,7 +269,6 @@
                                             ]
                                         }
                                     ],
-                                    "type": "tree",
                                     "rules": [
                                         {
                                             "conditions": [],
@@ -283,14 +279,16 @@
                                             },
                                             "type": "endpoint"
                                         }
-                                    ]
+                                    ],
+                                    "type": "tree"
                                 },
                                 {
                                     "conditions": [],
                                     "error": "DualStack is enabled but this partition does not support DualStack",
                                     "type": "error"
                                 }
-                            ]
+                            ],
+                            "type": "tree"
                         },
                         {
                             "conditions": [],
@@ -301,9 +299,11 @@
                             },
                             "type": "endpoint"
                         }
-                    ]
+                    ],
+                    "type": "tree"
                 }
-            ]
+            ],
+            "type": "tree"
         },
         {
             "conditions": [],

diff --git a/botocore/data/iotevents/2018-07-27/service-2.json b/botocore/data/iotevents/2018-07-27/service-2.json
@@ -590,7 +590,7 @@
     "AlarmModelArn":{"type":"string"},
     "AlarmModelDescription":{
       "type":"string",
-      "max":128
+      "max":1024
     },
     "AlarmModelName":{
       "type":"string",
@@ -1356,7 +1356,7 @@
     },
     "DetectorModelDescription":{
       "type":"string",
-      "max":128
+      "max":1024
     },
     "DetectorModelName":{
       "type":"string",
@@ -1738,7 +1738,7 @@
     },
     "InputDescription":{
       "type":"string",
-      "max":128
+      "max":1024
     },
     "InputIdentifier":{
       "type":"structure",

diff --git a/botocore/data/lookoutequipment/2020-12-15/service-2.json b/botocore/data/lookoutequipment/2020-12-15/service-2.json
@@ -1076,6 +1076,10 @@
         "Status":{
           "shape":"InferenceSchedulerStatus",
           "documentation":"<p>Indicates the status of the <code>CreateInferenceScheduler</code> operation. </p>"
+        },
+        "ModelQuality":{
+          "shape":"ModelQuality",
+          "documentation":"<p>Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is <code>POOR_QUALITY_DETECTED</code>. Otherwise, the value is <code>QUALITY_THRESHOLD_MET</code>. </p> <p>If the model is unlabeled, the model quality can't be assessed and the value of <code>ModelQuality</code> is <code>CANNOT_DETERMINE_QUALITY</code>. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.</p> <p>For information about using labels with your models, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html\">Understanding labeling</a>.</p> <p>For information about improving the quality of a model, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html\">Best practices with Amazon Lookout for Equipment</a>.</p>"
         }
       }
     },
@@ -2029,6 +2033,10 @@
         "ModelDiagnosticsOutputConfiguration":{
           "shape":"ModelDiagnosticsOutputConfiguration",
           "documentation":"<p>Configuration information for the model's pointwise model diagnostics.</p>"
+        },
+        "ModelQuality":{
+          "shape":"ModelQuality",
+          "documentation":"<p>Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is <code>POOR_QUALITY_DETECTED</code>. Otherwise, the value is <code>QUALITY_THRESHOLD_MET</code>.</p> <p>If the model is unlabeled, the model quality can't be assessed and the value of <code>ModelQuality</code> is <code>CANNOT_DETERMINE_QUALITY</code>. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.</p> <p>For information about using labels with your models, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html\">Understanding labeling</a>.</p> <p>For information about improving the quality of a model, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html\">Best practices with Amazon Lookout for Equipment</a>.</p>"
         }
       }
     },
@@ -2181,6 +2189,10 @@
         "ModelDiagnosticsResultsObject":{
           "shape":"S3Object",
           "documentation":"<p>The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.</p>"
+        },
+        "ModelQuality":{
+          "shape":"ModelQuality",
+          "documentation":"<p>Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is <code>POOR_QUALITY_DETECTED</code>. Otherwise, the value is <code>QUALITY_THRESHOLD_MET</code>.</p> <p>If the model is unlabeled, the model quality can't be assessed and the value of <code>ModelQuality</code> is <code>CANNOT_DETERMINE_QUALITY</code>. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.</p> <p>For information about using labels with your models, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html\">Understanding labeling</a>.</p> <p>For information about improving the quality of a model, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html\">Best practices with Amazon Lookout for Equipment</a>.</p>"
         }
       }
     },
@@ -3522,6 +3534,14 @@
         "MANUAL"
       ]
     },
+    "ModelQuality":{
+      "type":"string",
+      "enum":[
+        "QUALITY_THRESHOLD_MET",
+        "CANNOT_DETERMINE_QUALITY",
+        "POOR_QUALITY_DETECTED"
+      ]
+    },
     "ModelStatus":{
       "type":"string",
       "enum":[
@@ -3590,7 +3610,11 @@
           "shape":"RetrainingSchedulerStatus",
           "documentation":"<p>Indicates the status of the retraining scheduler. </p>"
         },
-        "ModelDiagnosticsOutputConfiguration":{"shape":"ModelDiagnosticsOutputConfiguration"}
+        "ModelDiagnosticsOutputConfiguration":{"shape":"ModelDiagnosticsOutputConfiguration"},
+        "ModelQuality":{
+          "shape":"ModelQuality",
+          "documentation":"<p>Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is <code>POOR_QUALITY_DETECTED</code>. Otherwise, the value is <code>QUALITY_THRESHOLD_MET</code>.</p> <p>If the model is unlabeled, the model quality can't be assessed and the value of <code>ModelQuality</code> is <code>CANNOT_DETERMINE_QUALITY</code>. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.</p> <p>For information about using labels with your models, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html\">Understanding labeling</a>.</p> <p>For information about improving the quality of a model, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html\">Best practices with Amazon Lookout for Equipment</a>.</p>"
+        }
       },
       "documentation":"<p>Provides information about the specified machine learning model, including dataset and model names and ARNs, as well as status. </p>"
     },
@@ -3656,6 +3680,10 @@
         "SourceType":{
           "shape":"ModelVersionSourceType",
           "documentation":"<p>Indicates how this model version was generated.</p>"
+        },
+        "ModelQuality":{
+          "shape":"ModelQuality",
+          "documentation":"<p>Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is <code>POOR_QUALITY_DETECTED</code>. Otherwise, the value is <code>QUALITY_THRESHOLD_MET</code>. </p> <p>If the model is unlabeled, the model quality can't be assessed and the value of <code>ModelQuality</code> is <code>CANNOT_DETERMINE_QUALITY</code>. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.</p> <p>For information about improving the quality of a model, see <a href=\"https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html\">Best practices with Amazon Lookout for Equipment</a>.</p>"
         }
       },
       "documentation":"<p>Contains information about the specific model version.</p>"