CorePlexML
User Manuals
CorePlexML User Manuals
CorePlexML User Manual (English)
1. Account Onboarding
Goal
Who should read this
Preconditions
Step-by-step
Functional validation checklist
Expected result
Common errors and recovery
Screenshot
2. Navigation and Workspace
Goal
Workspace semantics
Step-by-step
Functional validation checklist
Expected result
Common errors and recovery
Screenshot
3. Projects and Datasets
Goal
Preconditions
Create a project
Upload a dataset
Validate dataset quality
Functional validation checklist
Expected result
Common errors and recovery
Screenshots
4. Dataset Builder AI
Goal
What this module must do
Run a realistic conversation
If output is not what you expect
Functional validation checklist
Expected result
Common errors and recovery
Screenshot
5. Experiments, Models, Predictions
Goal
Create an experiment
Review results and model registry
Run predictions
Functional validation checklist
Expected result
Common errors and recovery
Screenshots
6. MLOps and A/B Testing
Goal
Create a deployment
Monitor deployment
Run A/B test
Functional validation checklist
Expected result
Common errors and recovery
Screenshots
7. Privacy and SynthGen
Goal
Privacy workflow
SynthGen workflow
Data quality and parity checks
Functional validation checklist
Expected result
Common errors and recovery
Screenshots
8. Teams, Billing, Admin, Troubleshooting
Goal
Teams management
Billing and plan lifecycle
Admin controls
Functional validation checklist
Expected result
Troubleshooting quick playbook
Screenshot
Manual de Usuario CorePlexML (ES)
1. Cuenta y Onboarding
Objetivo
Para quien es
Precondiciones
Paso a paso
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagen
2. Navegacion y Workspace
Objetivo
Semantica del workspace
Paso a paso
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagen
3. Proyectos y Datasets
Objetivo
Precondiciones
Crear proyecto
Subir dataset
Validar calidad de datos
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagenes
4. Dataset Builder AI
Objetivo
Que debe cumplir este modulo
Flujo conversacional realista
Si el resultado no es el esperado
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagen
5. Experimentos, Modelos, Predicciones
Objetivo
Crear experimento
Revisar resultados y modelos
Ejecutar predicciones
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagenes
6. MLOps y AB Testing
Objetivo
Crear deployment
Monitorear deployment
Ejecutar AB test
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagenes
7. Privacy y SynthGen
Objetivo
Flujo de Privacy
Flujo de SynthGen
Checks de calidad y paridad
Checklist de validacion funcional
Resultado esperado
Errores comunes y recuperacion
Imagenes
8. Teams, Billing, Admin y Troubleshooting
Objetivo
Gestion de equipos
Billing y ciclo de plan
Controles Admin
Checklist de validacion funcional
Resultado esperado
Playbook rapido de recuperacion
Imagen
Manual do Usuario CorePlexML (PT-BR)
1. Conta e Onboarding
Objetivo
Para quem e
Precondicoes
Passo a passo
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagem
2. Navegacao e Workspace
Objetivo
Semantica do workspace
Passo a passo
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagem
3. Projetos e Datasets
Objetivo
Precondicoes
Criar projeto
Upload de dataset
Validar qualidade de dados
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagens
4. Dataset Builder AI
Objetivo
O que este modulo deve cumprir
Fluxo conversacional realista
Se o resultado nao for o esperado
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagem
5. Experimentos, Modelos e Predicoes
Objetivo
Criar experimento
Revisar resultados e registro de modelos
Executar predicoes
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagens
6. MLOps e AB Testing
Objetivo
Criar deployment
Monitorar deployment
Executar AB test
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagens
7. Privacy e SynthGen
Objetivo
Fluxo de Privacy
Fluxo de SynthGen
Checks de qualidade e paridade
Checklist de validacao funcional
Resultado esperado
Erros comuns e recuperacao
Imagens
8. Teams, Billing, Admin e Troubleshooting
Objetivo
Gestao de times
Billing e ciclo de plano
Controles Admin
Checklist de validacao funcional
Resultado esperado
Playbook rapido de recuperacao
Imagem
Getting Started
Getting Started
Core Concepts
Projects
Datasets & Versions
Experiments
Models
Deployments (MLOps)
Reports
Enterprise Modules
Next Steps
Authentication
API Key Authentication
Creating an API Key Programmatically
API Key Scopes
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
Overview
Working with Projects
Creating a Project
Listing Projects
Sharing a Project
Data Ingestion
Uploading a CSV
Inspecting Column Schema
Downloading Data
AutoML Training
Supported Algorithms
Evaluation Metrics
Experiment Configuration
Classification Example
Regression Example
Waiting for Completion
Model Evaluation
Leaderboard
Model Details
Feature Importance
Ad-hoc Predictions
Report Generation
Privacy Suite
Overview
Step 1: Create a Privacy Policy
Step 2: Add Detection Rules
Listing Available PII Types
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
Choosing a Model Type
Training Configuration
Generating Synthetic Data
Conditional Generation
Streaming Large Datasets
Downloading Synthetic Data
Quality Metrics
SynthGen Report
SDK Example
MLOps & Model Serving
Overview
Creating a Deployment
Listing Deployments
Making Predictions
Single Prediction
Batch Predictions
Feature Contributions (SHAP)
Promoting and Rolling Back
Promote to Production
Rollback
Deactivate
Inference Logging
Data Drift Detection
Alerting
Auto-Retraining
Deployment with Privacy
SDK Example
What-If Analysis
Overview
Creating a Session
Getting the Feature Schema
Adding Scenarios
Running Scenarios
Comparing Results
Listing Sessions
SDK Example
Python SDK
Python SDK
Installation
Quick Initialization
Key Concepts
Resources
Job Polling
Error Handling
Authentication
Version Compatibility
Contents
Quick Start
Prerequisites
Step 1 – Install and Configure
Step 2 – Create a Project
Step 3 – Upload a Dataset
Step 4 – Create an Experiment (Classification)
Step 5 – Wait for Training
Step 6 – List Models and Get the Best One
Step 7 – Deploy to Staging
Step 8 – Make Predictions via Deployment
Step 9 – Generate a Report
Step 10 – Clean Up
Error Handling
Next Steps
CorePlexMLClient
Constructor
Resource Attributes
Connection Configuration
Authentication
Autodoc Reference
Resource Reference
ProjectsResource
DatasetsResource
ExperimentsResource
ModelsResource
DeploymentsResource
ReportsResource
PrivacyResource
SynthGenResource
StudioResource
Exceptions
Exception Hierarchy
Autodoc Reference
CorePlexMLError
AuthenticationError
NotFoundError
ValidationError
Error Handling Patterns
Advanced Usage
Job Polling Patterns
Batch Predictions
Dataset Versions Workflow
Privacy Suite Workflow
SynthGen Workflow
What-If Analysis (Studio) Workflow
Error Handling Patterns
Timeout Configuration
Working with Large Datasets
Logging
Example Scripts
01 – Quick Start
02 – Batch Predictions
03 – Experiment Comparison
04 – Privacy Workflow
05 – Synthetic Data Generation
06 – Model Monitoring
07 – What-If Analysis
08 – Report Generation
Running the Examples
REST API Reference
API Reference
Base URL
Authentication
Common Response Format
Pagination
Content Types
Rate Limiting
File Upload Limits
Error Handling
PDF Download
Authentication
Register User
Login
Logout
Get Current User
Create API Key
List API Keys
Revoke API Key
Forgot Password
Reset Password
Projects API
List Projects
Create Project
Get Project
Update Project
Delete Project
List Members
Add Member
Activity Timeline
Export Project
Datasets API
Upload Dataset
List Datasets
Get Dataset Detail
Get Column Schema
Download Dataset
Statistical Analysis
Data Quality Report
Dataset Lineage
Delete Dataset
List Versions
Upload New Version
Compare Versions
Get Dataset Version
Experiments API
Create Experiment
List Experiments
Get Experiment Detail
Get Experiment Status
Get Training Logs
Explainability
Set Best Model
Delete Experiment
Models API
List Models
Get Model Detail
Get Hyperparameters
Model Explainability
Single/Batch Prediction
Batch Predict from File
Delete Model
Deployments API
Create Deployment
List Deployments
Get Deployment Detail
Predict via Deployment
Promote Deployment
Rollback Deployment
Deactivate Deployment
Drift Metrics
Run Drift Detection
Inference Logs
Deployment Lifecycle Example
Reports API
Create Report
List Reports
Get Report Detail
View Report Inline
Download Report
Privacy Suite API
Create Policy
List Policies
Get Policy
Update Policy
Delete Policy
Create Detection Rule
List Rules
Create Session
List Sessions
Get Session Detail
Run PII Detection
Apply Anonymization
Detection Results
Download Anonymized Data
Generate Privacy Report
List PII Types
List Actions
List Compliance Profiles
Full Workflow Example
Supported PII Types
Transformation Actions Reference
Compliance Profiles
Detection Confidence Levels
SynthGen API
Create Model
List Models
Get Model Detail
Generate Synthetic Data
Delete Model
List Jobs
Get Job Detail
Download Synthetic Data
List Model Types
Full Workflow Example
ML Studio (What-If) API
Create Session
List Sessions
Get Session Detail
Get Feature Schema
Create Scenario
Run Scenario
Compare Scenarios
End-to-End What-If Example
Error Handling
Error Response Format
HTTP Status Codes
Rate Limiting
Common Error Scenarios
Retry Strategy
CorePlexML
Overview: module code
All modules for which code is available
coreplexml.client
coreplexml.datasets
coreplexml.deployments
coreplexml.exceptions
coreplexml.experiments
coreplexml.models
coreplexml.privacy
coreplexml.projects
coreplexml.reports
coreplexml.studio
coreplexml.synthgen