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Anomaly Detection using Random Forest

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Presentation on theme: "Anomaly Detection using Random Forest"— Presentation transcript:

1 Lumada Analytics Example Machine Learning Solutions Anomaly Detection using Random Forest

2 Anomaly Detection using Random Forest
Anomaly detection using fault assignment labeling Using Python stages Field mapping, expression stage, notification, pipeline branching

3 Anomaly Detection using Random Forest Composition

4 Model Training Workflow
Random Forest Training Workflow Batching Data Pipeline Python Training Model Training Data Models f(x) Data Lake (Solr) File Storage Service

5 Apply Model Workflow Cluster Assignment Workflow Streaming Data f(x)
Pipeline CONNECTOR AMQP Python Apply Model AMQP Output Stage RabbitMQ Exchange f(x) E Results f(x) Expression Stage Events/Alerts Models File Storage Service


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