One-Click AutoML Features

Get comprehensive statistics and insights about your dataset without writing code. Our system analyzes column types, missing values, and distributions.

Connect directly to your existing data sources including databases, cloud storage, and APIs without moving your data.

Automatically transform categorical variables into machine-readable formats using various encoding techniques optimized for your data.

Normalize and standardize your numerical features to ensure optimal model performance with our automated scaling tools.

Automatically divide your data into training, validation, and test sets with stratified sampling to maintain class distribution.

Optimize model parameters automatically with advanced search techniques to maximize performance without manual testing.

Compare multiple trained models side-by-side with detailed performance metrics and visualizations to make informed decisions.

Understand why your models make specific predictions with integrated explainability tools that provide insight into feature importance and decision paths.

Generate new features from your existing data to improve model performance using advanced techniques like polynomial features and interactions.

Automatically optimize trained models for speed, size, and accuracy with advanced techniques like pruning and quantization.

Process thousands of predictions at once by uploading a file with multiple data points, receiving results efficiently in one operation.

Understand the reliability of each prediction with confidence scores and probability distributions to make better decisions.

Test different scenarios by adjusting input parameters and seeing how they affect predictions to make data-driven decisions.

Track your model's performance over time with real-time metrics and alerts when performance changes significantly.

Explore your data through interactive charts and graphs that allow drilling down into specific segments and patterns.

Share dashboards with team members or export results in multiple formats for presentations and reports.

Schedule your machine learning pipelines to run automatically at specific intervals or based on triggers.

Track every step of your machine learning pipeline with detailed logs and visualizations of each component's performance.

Keep track of all changes to your pipelines with automatic versioning and the ability to roll back to previous versions.