Skip to content

Commit

Permalink
Updates SDK to v2.921.0
Browse files Browse the repository at this point in the history
  • Loading branch information
awstools committed Jun 3, 2021
1 parent 508ee7c commit 75363df
Show file tree
Hide file tree
Showing 22 changed files with 356 additions and 281 deletions.
17 changes: 17 additions & 0 deletions .changes/2.921.0.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
[
{
"type": "feature",
"category": "ForecastService",
"description": "Added optional field AutoMLOverrideStrategy to CreatePredictor API that allows users to customize AutoML strategy. If provided in CreatePredictor request, this field is visible in DescribePredictor and GetAccuracyMetrics responses."
},
{
"type": "feature",
"category": "S3",
"description": "S3 Inventory now supports Bucket Key Status"
},
{
"type": "feature",
"category": "S3Control",
"description": "Amazon S3 Batch Operations now supports S3 Bucket Keys."
}
]
7 changes: 6 additions & 1 deletion CHANGELOG.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,12 @@
# Changelog for AWS SDK for JavaScript
<!--LATEST=2.920.0-->
<!--LATEST=2.921.0-->
<!--ENTRYINSERT-->

## 2.921.0
* feature: ForecastService: Added optional field AutoMLOverrideStrategy to CreatePredictor API that allows users to customize AutoML strategy. If provided in CreatePredictor request, this field is visible in DescribePredictor and GetAccuracyMetrics responses.
* feature: S3: S3 Inventory now supports Bucket Key Status
* feature: S3Control: Amazon S3 Batch Operations now supports S3 Bucket Keys.

## 2.920.0
* feature: AutoScaling: You can now launch EC2 instances with GP3 volumes when using Auto Scaling groups with Launch Configurations
* feature: Braket: Introduction of a RETIRED status for devices.
Expand Down
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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-2.920.0.min.js"></script>
<script src="https://sdk.amazonaws.com/js/aws-sdk-2.921.0.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
Expand Down
47 changes: 25 additions & 22 deletions apis/forecast-2018-06-26.min.json
Original file line number Diff line number Diff line change
Expand Up @@ -174,23 +174,24 @@
"PerformAutoML": {
"type": "boolean"
},
"AutoMLOverrideStrategy": {},
"PerformHPO": {
"type": "boolean"
},
"TrainingParameters": {
"shape": "S14"
"shape": "S15"
},
"EvaluationParameters": {
"shape": "S17"
"shape": "S18"
},
"HPOConfig": {
"shape": "S18"
"shape": "S19"
},
"InputDataConfig": {
"shape": "S1k"
"shape": "S1l"
},
"FeaturizationConfig": {
"shape": "S1n"
"shape": "S1o"
},
"EncryptionConfig": {
"shape": "Sa"
Expand Down Expand Up @@ -569,23 +570,24 @@
"PerformAutoML": {
"type": "boolean"
},
"AutoMLOverrideStrategy": {},
"PerformHPO": {
"type": "boolean"
},
"TrainingParameters": {
"shape": "S14"
"shape": "S15"
},
"EvaluationParameters": {
"shape": "S17"
"shape": "S18"
},
"HPOConfig": {
"shape": "S18"
"shape": "S19"
},
"InputDataConfig": {
"shape": "S1k"
"shape": "S1l"
},
"FeaturizationConfig": {
"shape": "S1n"
"shape": "S1o"
},
"EncryptionConfig": {
"shape": "Sa"
Expand Down Expand Up @@ -750,7 +752,8 @@
}
}
}
}
},
"AutoMLOverrideStrategy": {}
}
},
"idempotent": true
Expand Down Expand Up @@ -798,7 +801,7 @@
"type": "integer"
},
"Filters": {
"shape": "S3g"
"shape": "S3h"
}
}
},
Expand Down Expand Up @@ -876,7 +879,7 @@
"type": "integer"
},
"Filters": {
"shape": "S3g"
"shape": "S3h"
}
}
},
Expand Down Expand Up @@ -918,7 +921,7 @@
"type": "integer"
},
"Filters": {
"shape": "S3g"
"shape": "S3h"
}
}
},
Expand Down Expand Up @@ -959,7 +962,7 @@
"type": "integer"
},
"Filters": {
"shape": "S3g"
"shape": "S3h"
}
}
},
Expand Down Expand Up @@ -1001,7 +1004,7 @@
"type": "integer"
},
"Filters": {
"shape": "S3g"
"shape": "S3h"
}
}
},
Expand Down Expand Up @@ -1217,12 +1220,12 @@
}
}
},
"S14": {
"S15": {
"type": "map",
"key": {},
"value": {}
},
"S17": {
"S18": {
"type": "structure",
"members": {
"NumberOfBacktestWindows": {
Expand All @@ -1233,7 +1236,7 @@
}
}
},
"S18": {
"S19": {
"type": "structure",
"members": {
"ParameterRanges": {
Expand Down Expand Up @@ -1302,7 +1305,7 @@
}
}
},
"S1k": {
"S1l": {
"type": "structure",
"required": [
"DatasetGroupArn"
Expand All @@ -1325,7 +1328,7 @@
}
}
},
"S1n": {
"S1o": {
"type": "structure",
"required": [
"ForecastFrequency"
Expand Down Expand Up @@ -1367,7 +1370,7 @@
}
}
},
"S3g": {
"S3h": {
"type": "list",
"member": {
"type": "structure",
Expand Down
18 changes: 18 additions & 0 deletions apis/forecast-2018-06-26.normal.json
Original file line number Diff line number Diff line change
Expand Up @@ -891,6 +891,12 @@
"geolocation"
]
},
"AutoMLOverrideStrategy": {
"type": "string",
"enum": [
"LatencyOptimized"
]
},
"Boolean": {
"type": "boolean"
},
Expand Down Expand Up @@ -1220,6 +1226,10 @@
"shape": "Boolean",
"documentation": "<p>Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates the algorithms it provides and chooses the best algorithm and configuration for your training dataset.</p> <p>The default value is <code>false</code>. In this case, you are required to specify an algorithm.</p> <p>Set <code>PerformAutoML</code> to <code>true</code> to have Amazon Forecast perform AutoML. This is a good option if you aren't sure which algorithm is suitable for your training data. In this case, <code>PerformHPO</code> must be false.</p>"
},
"AutoMLOverrideStrategy": {
"shape": "AutoMLOverrideStrategy",
"documentation": "<p>Used to overide the default AutoML strategy, which is to optimize predictor accuracy. To apply an AutoML strategy that minimizes training time, use <code>LatencyOptimized</code>.</p> <p>This parameter is only valid for predictors trained using AutoML.</p>"
},
"PerformHPO": {
"shape": "Boolean",
"documentation": "<p>Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter values for your training data. The process of performing HPO is known as running a hyperparameter tuning job.</p> <p>The default value is <code>false</code>. In this case, Amazon Forecast uses default hyperparameter values from the chosen algorithm.</p> <p>To override the default values, set <code>PerformHPO</code> to <code>true</code> and, optionally, supply the <a>HyperParameterTuningJobConfig</a> object. The tuning job specifies a metric to optimize, which hyperparameters participate in tuning, and the valid range for each tunable hyperparameter. In this case, you are required to specify an algorithm and <code>PerformAutoML</code> must be false.</p> <p>The following algorithms support HPO:</p> <ul> <li> <p>DeepAR+</p> </li> <li> <p>CNN-QR</p> </li> </ul>"
Expand Down Expand Up @@ -1869,6 +1879,10 @@
"shape": "Boolean",
"documentation": "<p>Whether the predictor is set to perform AutoML.</p>"
},
"AutoMLOverrideStrategy": {
"shape": "AutoMLOverrideStrategy",
"documentation": "<p>The AutoML strategy used to train the predictor. Unless <code>LatencyOptimized</code> is specified, the AutoML strategy optimizes predictor accuracy.</p> <p>This parameter is only valid for predictors trained using AutoML.</p>"
},
"PerformHPO": {
"shape": "Boolean",
"documentation": "<p>Whether the predictor is set to perform hyperparameter optimization (HPO).</p>"
Expand Down Expand Up @@ -2290,6 +2304,10 @@
"PredictorEvaluationResults": {
"shape": "PredictorEvaluationResults",
"documentation": "<p>An array of results from evaluating the predictor.</p>"
},
"AutoMLOverrideStrategy": {
"shape": "AutoMLOverrideStrategy",
"documentation": "<p>The AutoML strategy used to train the predictor. Unless <code>LatencyOptimized</code> is specified, the AutoML strategy optimizes predictor accuracy.</p> <p>This parameter is only valid for predictors trained using AutoML.</p>"
}
}
},
Expand Down
Loading

0 comments on commit 75363df

Please sign in to comment.