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azure-ai-anomalydetector-javalisted

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
aiskillstore/marketplace · ★ 329 · DevOps & Infrastructure · score 82
Install: claude install-skill aiskillstore/marketplace
# Azure AI Anomaly Detector SDK for Java Build anomaly detection applications using the Azure AI Anomaly Detector SDK for Java. ## Installation ```xml <dependency> <groupId>com.azure</groupId> <artifactId>azure-ai-anomalydetector</artifactId> <version>3.0.0-beta.6</version> </dependency> ``` ## Client Creation ### Sync and Async Clients ```java import com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder; import com.azure.ai.anomalydetector.MultivariateClient; import com.azure.ai.anomalydetector.UnivariateClient; import com.azure.core.credential.AzureKeyCredential; String endpoint = System.getenv("AZURE_ANOMALY_DETECTOR_ENDPOINT"); String key = System.getenv("AZURE_ANOMALY_DETECTOR_API_KEY"); // Multivariate client for multiple correlated signals MultivariateClient multivariateClient = new AnomalyDetectorClientBuilder() .credential(new AzureKeyCredential(key)) .endpoint(endpoint) .buildMultivariateClient(); // Univariate client for single variable analysis UnivariateClient univariateClient = new AnomalyDetectorClientBuilder() .credential(new AzureKeyCredential(key)) .endpoint(endpoint) .buildUnivariateClient(); ``` ### With DefaultAzureCredential ```java import com.azure.identity.DefaultAzureCredentialBuilder; MultivariateClient client = new AnomalyDetectorClientBuilder() .credential(new DefaultAzureCredentialBuilder().build()) .endpoint(endpoint) .buildMultivariateClient(); ``` ## Key Concepts ### Univariate Anomaly