02_Deployment Quantile Method for Fraud Detection
Fraud Detection: Quantile Method Deployment
This workflow shows the deployment of using Quantile Method. We read in pre-trained normalization model, outlier model, and a test transaction. After this, we apply the normalizer model and the quantile scalar on the test data. The outliers are labeled, and we use a Case Switch to decide whether we notify if there is a fraudulent transaction or not.
This workflow demonstrates how we can use the Quantile Method on new data by performing the following steps:
1. Read the Models and new Data
2. Deploy the Normalization Model on the new transaction
3. Mark Outliers
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