Developer Documentation
Everything you need to build with AutoML
API Reference
Complete API documentation with code examples in Python, Node.js, and cURL
View API docs →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)