CorePlexML Documentation

CorePlexML is an enterprise AutoML & MLOps platform for automated machine learning, data privacy, synthetic data generation, and model deployment.

This documentation includes:

1. User manuals for the web platform (step-by-step).

2. Developer documentation for REST API and Python SDK.

User manuals are available in English, Spanish, and Brazilian Portuguese.

PDF bundles:

• User Manual (EN): /pdfs/coreplexml-user-manual-en.pdf

• User Manual (ES): /pdfs/coreplexml-user-manual-es.pdf

• User Manual (PT-BR): /pdfs/coreplexml-user-manual-pt-br.pdf

• API Reference (EN): /pdfs/coreplexml-api-reference-en.pdf

User Manuals

• CorePlexML User Manuals
  • CorePlexML User Manual (English)
  • Manual de Usuario CorePlexML (ES)
  • Manual do Usuario CorePlexML (PT-BR)

Getting Started

• Getting Started
  • Core Concepts
  • Next Steps
• Authentication
  • API Key Authentication
  • Session Authentication
  • Error Responses
• Quick Start
  • Prerequisites
  • 1. Create a Project
  • 2. Upload a Dataset
  • 3. Inspect the Schema
  • 4. Run an AutoML Experiment
  • 5. Poll for Completion
  • 6. List Trained Models
  • 7. Make a Prediction
  • 8. Deploy to Production
  • Next Steps

Developer Guides

• Developer Guides
  • End-to-End ML Pipeline
  • Privacy Suite
  • Synthetic Data Generation
  • MLOps & Model Serving
  • What-If Analysis

Python SDK

• Python SDK
  • Installation
  • Quick Initialization
  • Key Concepts
  • Version Compatibility
  • Contents

REST API Reference

• API Reference
  • Base URL
  • Authentication
  • Common Response Format
  • Pagination
  • Content Types
  • Rate Limiting
  • File Upload Limits
  • Error Handling
  • PDF Download

Indices and tables

• Index

• Module Index

• Search Page