Updates SDK to v2.943.0

aws · Jul 9, 2021 · 821e9a1 · 821e9a1
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Showing 18 changed files with 383 additions and 151 deletions.
diff --git a/.changes/2.943.0.json b/.changes/2.943.0.json
@@ -0,0 +1,17 @@
+[
+    {
+        "type": "feature",
+        "category": "FraudDetector",
+        "description": "This release adds support for ML Explainability to display model variable importance value in Amazon Fraud Detector."
+    },
+    {
+        "type": "feature",
+        "category": "MediaConvert",
+        "description": "MediaConvert now supports color, style and position information passthrough from 608 and Teletext to SRT and WebVTT subtitles. MediaConvert now also supports Automatic QVBR quality levels for QVBR RateControlMode."
+    },
+    {
+        "type": "feature",
+        "category": "SageMaker",
+        "description": "Releasing new APIs related to Tuning steps in model building pipelines."
+    }
+]
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,7 +1,12 @@
 # Changelog for AWS SDK for JavaScript
-<!--LATEST=2.942.0-->
+<!--LATEST=2.943.0-->
 <!--ENTRYINSERT-->
 
+## 2.943.0
+* feature: FraudDetector: This release adds support for ML Explainability to display model variable importance value in Amazon Fraud Detector.
+* feature: MediaConvert: MediaConvert now supports color, style and position information passthrough from 608 and Teletext to SRT and WebVTT subtitles. MediaConvert now also supports Automatic QVBR quality levels for QVBR RateControlMode.
+* feature: SageMaker: Releasing new APIs related to Tuning steps in model building pipelines.
+
 ## 2.942.0
 * feature: DevOpsGuru: Add AnomalyReportedTimeRange field to include open and close time of anomalies.
 * feature: EKS: Added waiters for EKS FargateProfiles.

diff --git a/README.md b/README.md
@@ -29,7 +29,7 @@ For release notes, see the [CHANGELOG](https://github.com/aws/aws-sdk-js/blob/ma
 To use the SDK in the browser, simply add the following script tag to your
 HTML pages:
 
-    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.942.0.min.js"></script>
+    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.943.0.min.js"></script>
 
 You can also build a custom browser SDK with your specified set of AWS services.
 This can allow you to reduce the SDK's size, specify different API versions of

diff --git a/apis/frauddetector-2019-11-15.min.json b/apis/frauddetector-2019-11-15.min.json
@@ -621,6 +621,29 @@
                           }
                         }
                       }
+                    },
+                    "variableImportanceMetrics": {
+                      "type": "structure",
+                      "members": {
+                        "LogitMetrics": {
+                          "type": "list",
+                          "member": {
+                            "type": "structure",
+                            "required": [
+                              "variableName",
+                              "variableType",
+                              "variableImportance"
+                            ],
+                            "members": {
+                              "variableName": {},
+                              "variableType": {},
+                              "variableImportance": {
+                                "type": "float"
+                              }
+                            }
+                          }
+                        }
+                      }
                     }
                   }
                 },
@@ -931,10 +954,10 @@
                 "modelSource": {},
                 "invokeModelEndpointRoleArn": {},
                 "inputConfiguration": {
-                  "shape": "S4b"
+                  "shape": "S4e"
                 },
                 "outputConfiguration": {
-                  "shape": "S4e"
+                  "shape": "S4h"
                 },
                 "modelEndpointStatus": {},
                 "lastUpdatedTime": {},
@@ -1264,10 +1287,10 @@
           "modelSource": {},
           "invokeModelEndpointRoleArn": {},
           "inputConfiguration": {
-            "shape": "S4b"
+            "shape": "S4e"
           },
           "outputConfiguration": {
-            "shape": "S4e"
+            "shape": "S4h"
           },
           "modelEndpointStatus": {},
           "tags": {
@@ -1703,7 +1726,7 @@
       "type": "list",
       "member": {}
     },
-    "S4b": {
+    "S4e": {
       "type": "structure",
       "required": [
         "useEventVariables"
@@ -1718,7 +1741,7 @@
         "csvInputTemplate": {}
       }
     },
-    "S4e": {
+    "S4h": {
       "type": "structure",
       "required": [
         "format"

diff --git a/apis/frauddetector-2019-11-15.normal.json b/apis/frauddetector-2019-11-15.normal.json
@@ -117,6 +117,9 @@
         },
         {
           "shape": "AccessDeniedException"
+        },
+        {
+          "shape": "ResourceNotFoundException"
         }
       ],
       "documentation": "<p>Creates a batch prediction job.</p>"
@@ -2971,7 +2974,7 @@
         },
         "eventVariables": {
           "shape": "EventVariableMap",
-          "documentation": "<p>Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation.</p>"
+          "documentation": "<p>Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation.</p> <important> <ul> <li> <p>You must provide at least one eventVariable</p> </li> <li> <p>If detectorVersion is associated with a modelVersion, you must provide at least one associated eventVariable</p> </li> </ul> </important> <p>To ensure highest possible fraud prediction and to simplify your data preparation, Amazon Fraud Detector will replace all missing variables or values as follows:</p> <p> <b>For Amazon Fraud Detector trained models:</b> </p> <p>If a null value is provided explicitly for a variable or if a variable is missing, model will replace the null value or the missing variable (no variable name in the eventVariables map) with calculated default mean/medians for numeric variables and with special values for categorical variables.</p> <p> <b>For External models ( for example, imported SageMaker):</b> </p> <p>If a null value is provided explicitly for a variable, the model and rules will use “null” as the value. If a variable is not provided (no variable name in the eventVariables map), model and rules will use the default value that is provided for the variable. </p>"
         },
         "externalModelEndpointDataBlobs": {
           "shape": "ExternalModelEndpointDataBlobMap",
@@ -3358,6 +3361,12 @@
         "DETECTORPL"
       ]
     },
+    "ListOfLogitMetrics": {
+      "type": "list",
+      "member": {
+        "shape": "LogitMetric"
+      }
+    },
     "ListOfModelScores": {
       "type": "list",
       "member": {
@@ -3415,6 +3424,29 @@
         }
       }
     },
+    "LogitMetric": {
+      "type": "structure",
+      "required": [
+        "variableName",
+        "variableType",
+        "variableImportance"
+      ],
+      "members": {
+        "variableName": {
+          "shape": "string",
+          "documentation": "<p>The name of the variable.</p>"
+        },
+        "variableType": {
+          "shape": "string",
+          "documentation": "<p>The type of variable.</p>"
+        },
+        "variableImportance": {
+          "shape": "float",
+          "documentation": "<p>The relative importance of the variable.</p>"
+        }
+      },
+      "documentation": "<p>The logit metric details.</p>"
+    },
     "MetricDataPoint": {
       "type": "structure",
       "members": {
@@ -4129,6 +4161,10 @@
         "trainingMetrics": {
           "shape": "TrainingMetrics",
           "documentation": "<p>The training metric details.</p>"
+        },
+        "variableImportanceMetrics": {
+          "shape": "VariableImportanceMetrics",
+          "documentation": "<p>The variable importance metrics.</p>"
         }
       },
       "documentation": "<p>The training result details.</p>"
@@ -4532,6 +4568,16 @@
       "max": 25,
       "min": 1
     },
+    "VariableImportanceMetrics": {
+      "type": "structure",
+      "members": {
+        "LogitMetrics": {
+          "shape": "ListOfLogitMetrics",
+          "documentation": "<p>List of variable metrics.</p>"
+        }
+      },
+      "documentation": "<p>The variable importance metrics details.</p>"
+    },
     "VariableList": {
       "type": "list",
       "member": {