Developer Documentation

Everything you need to build with AutoML

Getting Started

Quick start guides and tutorials for building your first ML model

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API Reference

Complete API documentation with code examples in Python, Node.js, and cURL

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Tutorials

Step-by-step guides for common ML use cases and workflows

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Popular Topics

Training Your First Model

Learn how to upload data, configure training, and deploy a model in under 10 minutes.

Making Predictions

Use the REST API, Python SDK, or JavaScript SDK to get real-time predictions.

Model Monitoring

Track performance metrics, detect data drift, and set up automated alerts.

Data Pipelines

Build automated ETL workflows for continuous model training and deployment.

Quick Start: Python SDK

pip install automl-sdk

from automl import AutoML

# Initialize client
client = AutoML(api_key="your_api_key")

# Train model
model = client.train(
    dataset="sales.csv",
    target="revenue"
)

# Make prediction
prediction = model.predict({
    "feature1": 100,
    "feature2": "category_a"
})

print(prediction)