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/external/autotest/client/cros/audio/
Daudio_analysis_unittest.py184 """Inserts an anomaly to the test signal.
186 The anomaly self.anomaly_samples should be created before calling this
206 """Creates an anomaly of constant samples.
217 """Runs the anomaly detection."""
224 """Verifies that there is no anomaly in detection result."""
230 """Verifies that there is anomaly in detection result.
232 The detection result should contain anomaly time stamps that are
233 close to where anomaly was inserted. There can be multiple anomalies
239 # Anomaly can be detected as long as the detection window of block size
240 # overlaps with anomaly.
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Daudio_analysis.py240 """Detects anomaly in a sine wave signal.
242 This method detects anomaly in a sine wave signal by matching
247 signal is matched and there is no anomaly in this block of test signal.
249 covers an anomaly.
252 be at least one block covering the transition from sine wave to anomaly.
257 @param block_size: The block size in samples to detect anomaly.
260 @returns: A list containing detected anomaly time in seconds.
298 @param block_size: The block size in samples to detect anomaly.
/external/googleapis/google/cloud/aiplatform/v1beta1/
Dmodel_monitoring_alert.proto40 // Represents a single model monitoring anomaly.
42 // Tabular anomaly details.
44 // Additional anomaly information. e.g. Google Cloud Storage uri.
47 // Overview of this anomaly.
50 // Anomaly body.
51 google.protobuf.Value anomaly = 3; field
53 // The time the anomaly was triggered.
56 // The alert condition associated with this anomaly.
60 oneof anomaly { oneof
61 // Tabular anomaly.
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Dfeaturestore_monitoring.proto99 // Defines the baseline to do anomaly detection for feature values imported
109 // exists, skip anomaly detection and only generate a statistics.
125 // The baseline used to do anomaly detection for the statistics generated by
150 // Threshold for numerical features of anomaly detection.
157 // Threshold for categorical features of anomaly detection.
Dfeature_monitoring_stats.proto29 // Stats and Anomaly generated at specific timestamp for specific Feature.
54 // Path of the anomaly file for current feature values in Cloud Storage
/external/aws-sdk-java-v2/services/lookoutmetrics/src/main/resources/codegen-resources/
Dservice-2.json32 "documentation":"<p>Activates an anomaly detector.</p>"
49 "documentation":"<p>Runs a backtest for anomaly detection for the specified resource.</p>"
68 "documentation":"<p>Creates an alert for an anomaly detector.</p>"
87 "documentation":"<p>Creates an anomaly detector.</p>"
124 "documentation":"<p>Deactivates an anomaly detector.</p>"
159 …"documentation":"<p>Deletes a detector. Deleting an anomaly detector will delete all of its corres…
193 …"documentation":"<p>Returns information about the status of the specified anomaly detection jobs.<…
295 "documentation":"<p>Get feedback for an anomaly group.</p>"
363 …tion":"<p>Returns a list of measures that are potential causes or effects of an anomaly group.</p>"
380 "documentation":"<p>Returns a list of anomaly groups.</p>"
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/
DFeaturestoreMonitoringConfigOrBuilder.java116 * Threshold for numerical features of anomaly detection.
134 * Threshold for numerical features of anomaly detection.
153 * Threshold for numerical features of anomaly detection.
171 * Threshold for categorical features of anomaly detection.
189 * Threshold for categorical features of anomaly detection.
208 * Threshold for categorical features of anomaly detection.
DFeaturestoreMonitoringConfig.java1413 * The baseline used to do anomaly detection for the statistics generated by
1428 * The baseline used to do anomaly detection for the statistics generated by
1703 * Defines the baseline to do anomaly detection for feature values imported
1729 * exists, skip anomaly detection and only generate a statistics.
1776 * exists, skip anomaly detection and only generate a statistics.
1947 * The baseline used to do anomaly detection for the statistics generated by
1965 * The baseline used to do anomaly detection for the statistics generated by
2542 * The baseline used to do anomaly detection for the statistics generated by
2560 * The baseline used to do anomaly detection for the statistics generated by
2581 * The baseline used to do anomaly detection for the statistics generated by
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/
DFeaturestoreMonitoringConfigOrBuilder.java116 * Threshold for numerical features of anomaly detection.
134 * Threshold for numerical features of anomaly detection.
153 * Threshold for numerical features of anomaly detection.
171 * Threshold for categorical features of anomaly detection.
189 * Threshold for categorical features of anomaly detection.
208 * Threshold for categorical features of anomaly detection.
DFeaturestoreMonitoringConfig.java964 * The baseline used to do anomaly detection for the statistics generated by
979 * The baseline used to do anomaly detection for the statistics generated by
1254 * Defines the baseline to do anomaly detection for feature values imported
1280 * exists, skip anomaly detection and only generate a statistics.
1327 * exists, skip anomaly detection and only generate a statistics.
1497 * The baseline used to do anomaly detection for the statistics generated by
1515 * The baseline used to do anomaly detection for the statistics generated by
2070 * The baseline used to do anomaly detection for the statistics generated by
2088 * The baseline used to do anomaly detection for the statistics generated by
2109 * The baseline used to do anomaly detection for the statistics generated by
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/external/googleapis/google/cloud/aiplatform/v1/
Dfeaturestore_monitoring.proto87 // Defines the baseline to do anomaly detection for feature values imported
97 // exists, skip anomaly detection and only generate a statistics.
113 // The baseline used to do anomaly detection for the statistics generated by
138 // Threshold for numerical features of anomaly detection.
145 // Threshold for categorical features of anomaly detection.
Dfeature_monitoring_stats.proto29 // Stats and Anomaly generated at specific timestamp for specific Feature.
54 // Path of the anomaly file for current feature values in Cloud Storage
/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/
Dfeaturestore_monitoring.proto87 // Defines the baseline to do anomaly detection for feature values imported
97 // exists, skip anomaly detection and only generate a statistics.
113 // The baseline used to do anomaly detection for the statistics generated by
138 // Threshold for numerical features of anomaly detection.
145 // Threshold for categorical features of anomaly detection.
Dfeature_monitoring_stats.proto29 // Stats and Anomaly generated at specific timestamp for specific Feature.
54 // Path of the anomaly file for current feature values in Cloud Storage
/external/aws-sdk-java-v2/services/devopsguru/src/main/resources/codegen-resources/
Dservice-2.json104 "documentation":"<p> Returns details about an anomaly that you specify using its ID. </p>"
655 … events began. The impact start time indicates the time of the first log anomaly event that occurs…
667 …"documentation":"<p> The log anomalies in the log group. Each log anomaly displayed represents a c…
694 "documentation":"<p> The time when an anomaly is opened. </p>"
698 "documentation":"<p> The time when an anomaly is closed. </p>"
701 …p> A time range that specifies when DevOps Guru opens and then closes an anomaly. This is differen…
715 …Ops Guru detected unusual behavior that resulted in the generation of an anomaly. When DevOps Guru…
742 …n":"<p> Details about the source of the anomalous operational data that triggered the anomaly.</p>"
749 "documentation":"<p>The source of the anomaly.</p>"
753 "documentation":"<p>The name of the anomaly's resource.</p>"
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/
Dfeaturestore_monitoring.proto99 // Defines the baseline to do anomaly detection for feature values imported
109 // exists, skip anomaly detection and only generate a statistics.
125 // The baseline used to do anomaly detection for the statistics generated by
150 // Threshold for numerical features of anomaly detection.
157 // Threshold for categorical features of anomaly detection.
Dfeature_monitoring_stats.proto29 // Stats and Anomaly generated at specific timestamp for specific Feature.
54 // Path of the anomaly file for current feature values in Cloud Storage
/external/aws-sdk-java-v2/services/cloudwatchlogs/src/main/resources/codegen-resources/
Dservice-2.json97anomaly detector</i> that regularly scans one or more log groups and look for patterns and anomali…
254 "documentation":"<p>Deletes the specified CloudWatch Logs anomaly detector.</p>"
680 … "documentation":"<p>Retrieves information about the log anomaly detector that you specify.</p>"
758 …urns a list of anomalies that log anomaly detectors have found. For details about the structure fo…
774 "documentation":"<p>Retrieves a list of the log anomaly detectors in the account.</p>"
1152anomaly detection for a specified anomaly or pattern. If you suppress an anomaly, CloudWatch Logs …
1167 "documentation":"<p>Updates an existing log anomaly detector.</p>"
1241 "member":{"shape":"Anomaly"}
1243 "Anomaly":{ object
1263 "documentation":"<p>The unique ID that CloudWatch Logs assigned to this anomaly.</p>"
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/external/aws-sdk-java-v2/services/lookoutvision/src/main/resources/codegen-resources/
Dservice-2.json217anomaly found in the image.</p> <note> <p>Before calling <code>DetectAnomalies</code>, you must fi…
235 …es within a dataset. An Amazon Lookout for Vision JSON Line contains the anomaly information for a…
420 …he dataset. </p> <p>For more information, see <i>Defining JSON lines for anomaly classification</i…
434 "Anomaly":{ object
439anomaly type found in an image. <code>Name</code> maps to an anomaly type in the training dataset,…
443 "documentation":"<p>Information about the pixel mask that covers an anomaly type.</p>"
446 …"documentation":"<p>Information about an anomaly type found on an image by an image segmentation m…
452 "pattern":"(normal|anomaly)"
456 "member":{"shape":"Anomaly"}
724 "Anomaly":{ object
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/external/aws-sdk-java-v2/.changes/2.14.x/
D2.14.24.json13 …escription": "This release provides access to Cost Anomaly Detection Public Preview APIs. Cost Ano…
/external/aws-sdk-java-v2/services/costexplorer/src/main/resources/codegen-resources/
Dservice-2.json28 …"documentation":"<p>Creates a new cost anomaly detection monitor with the requested type and monit…
42 …"documentation":"<p>Adds an alert subscription to a cost anomaly detection monitor. You can use ea…
70 "documentation":"<p>Deletes a cost anomaly monitor. </p>"
84 "documentation":"<p>Deletes a cost anomaly subscription. </p>"
141 …ntation":"<p>Retrieves the cost anomaly monitor definitions for your account. You can filter using…
156 …tation":"<p>Retrieves the cost anomaly subscription objects for your account. You can filter using…
470 "documentation":"<p>Modifies the feedback property of a given cost anomaly. </p>"
529 …"documentation":"<p>Updates an existing cost anomaly monitor. The changes made are applied going f…
544 …"documentation":"<p>Updates an existing cost anomaly subscription. Specify the fields that you wan…
587 "member":{"shape":"Anomaly"}
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/external/aws-sdk-java-v2/services/cloudwatch/src/main/resources/codegen-resources/
Dservice-2.json45anomaly detection model from your account. For more information about how to delete an anomaly det…
162anomaly detection models that you have created in your account. For single metric anomaly detector…
444anomaly detection model for a CloudWatch metric. You can use the model to display a band of expect…
520anomaly detection model, or Metrics Insights query. For more information about using a Metrics Ins…
756 … "documentation":"<p>The namespace of the metric associated with the anomaly detection model.</p>",
762 … "documentation":"<p>The name of the metric associated with the anomaly detection model.</p>",
768 … "documentation":"<p>The metric dimensions associated with the anomaly detection model.</p>",
774 "documentation":"<p>The statistic associated with the anomaly detection model.</p>",
780 …"documentation":"<p>The configuration specifies details about how the anomaly detection model is t…
784 …"documentation":"<p>The current status of the anomaly detector's training. The possible values are…
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/external/aws-sdk-java-v2/.changes/2.17.x/
D2.17.85.json63 …"description": "CloudWatch Anomaly Detection now supports anomaly detectors that use metric math a…
/external/aws-sdk-java-v2/.changes/2.7.x/
D2.7.2.json13 …eature, CloudWatch Anomaly Detection. In addition, PutMetricAlarm and DescribeAlarms APIs are upda…
/external/googleapis/google/cloud/timeseriesinsights/v1/
Dtimeseries_insights.proto435 // Intuitively, anomaly scores summarize how statistically significant the
522 // anomaly is.
538 // Anomaly scores between different requests and datasets are comparable. As
539 // a guideline, the risk of a slice being an anomaly based on the anomaly
547 // If there were issues evaluating this slice, then the anomaly score will be
800 …// [anomaly scores][google.cloud.timeseriesinsights.v1.EvaluatedSlice.anomaly_score] in the datase…
818 // sensitivity of the anomaly detection.
869 // sensitivity of the anomaly detection.

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