1. Graph Developer's Guide for Property Graph
  2. Using the Graph Server (PGX)
  3. Using the Machine Learning Library (PgxML) for Graphs
  4. Using the Unsupervised Anomaly Detection GraphWise Algorithm (Vertex Embeddings and Anomaly Scores)
  5. Building a Minimal Unsupervised Anomaly Detection GraphWise Model

17.6.2 Building a Minimal Unsupervised Anomaly Detection GraphWise Model

You can build an Unsupervised Anomaly Detection GraphWise model using the minimal configuration and default hyper-parameters. Note that even though only one feature property is specified in the following example, you can specify arbitrarily many.
opg4j> var model = analyst.unsupervisedAnomalyDetectionGraphWiseModelBuilder().
          setVertexInputPropertyNames("features").
          build()
UnsupervisedAnomalyDetectionGraphWiseModel model = analyst.unsupervisedAnomalyDetectionGraphWiseModelBuilder()
    .setVertexInputPropertyNames("features")
    .build();

model = analyst.unsupervised_anomaly_detection_graphwise_builder(vertex_input_property_names=["features"])

Parent topic: Using the Unsupervised Anomaly Detection GraphWise Algorithm (Vertex Embeddings and Anomaly Scores)