Developer Guides

These guides walk through common workflows using the CorePlexML API. Each guide includes both curl and Python requests examples. Equivalent Python SDK calls are shown where available.

• End-to-End ML Pipeline
  • Overview
  • Working with Projects
  • Data Ingestion
  • AutoML Training
  • Model Evaluation
  • Report Generation
• Privacy Suite
  • Overview
  • Step 1: Create a Privacy Policy
  • Step 2: Add Detection Rules
  • Step 3: Create a Scan Session
  • Step 4: Run Detection
  • Step 5: Transform (Anonymize)
  • Step 6: Download Anonymized Data
  • Compliance Validation
  • Export Privacy Report
  • SDK Example
• Synthetic Data Generation
  • Overview
  • Training a Model
  • Generating Synthetic Data
  • Downloading Synthetic Data
  • Quality Metrics
  • SynthGen Report
  • SDK Example
• MLOps & Model Serving
  • Overview
  • Creating a Deployment
  • Making Predictions
  • Promoting and Rolling Back
  • Inference Logging
  • Data Drift Detection
  • Alerting
  • Auto-Retraining
  • Deployment with Privacy
  • SDK Example
• What-If Analysis
  • Overview
  • Creating a Session
  • Adding Scenarios
  • Running Scenarios
  • Comparing Results
  • Listing Sessions
  • SDK Example