EAQ Machine Learning Framework
Transform raw data into actionable insights with our next-generation ML framework that evolves with your business needs.
Core Capabilities
AutoML Integration
Automatic model selection and hyperparameter tuning powered by reinforcement learning for optimal performance.
Predictive Analytics
Real-time forecasting models that adapt to changing data patterns without manual retraining.
Feature Engineering
Automated transformation pipelines that extract meaningful patterns from raw data across multiple formats.
Modular Architecture
Click framework components to explore detailed documentation
Preprocessing
Model Engine
Inference
Seamless Integration
Query Framework
Direct integration with our query engine for real-time model inference within complex SQL pipelines.
Security Framework
Enterprise-grade protection for ML assets including model watermarking and access control policies.
Analytics Framework
Built-in model performance monitoring with automated anomaly detection for regression analysis.
Integration API
Pre-built connectors for TensorFlow, PyTorch, and scikit-learn to leverage existing ML infrastructure.
Real-World Applications
Retail Demand Forecasting
Predict seasonal demand patterns across thousands of SKUs with 93% accuracy through spatio-temporal analysis.
→ View Case StudyHealthcare Predictive Modeling
Early detection models for medical conditions using multi-modal patient records and real-time sensor data.
→ View Case StudyGetting Started
1. Connect Data
2. Select Model
3. Auto-Optimize
Start building intelligent applications with our fully integrated development environment and comprehensive documentation.
→ Developer Guide