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Overview
QuickML is Catalyst's no-code AutoML platform. Upload a dataset, configure the problem type, train a model, and call it via SDK/API. No ML expertise required.
Workflow
- Import Dataset — CSV/Excel from Stratus, Data Store export, or direct upload
- Configure Training — Select target column, problem type, algorithm
- Train — QuickML runs feature engineering, model selection, cross-validation
- Deploy — Deploy the best model as an endpoint
- Predict — Call predictions from functions or external services
Problem Types
| Type |
Use Case |
Example |
classification |
Classify into categories |
Spam/Not Spam, Churn/No Churn |
regression |
Predict numerical values |
Price prediction, Sales forecasting |
multi_label |
Multiple simultaneous labels |
Tag assignment, Multi-category |
SDK — Prediction
const quickML = catalystApp.quickML();
// Get a model
const model = quickML.model(MODEL_ID); // Model ID from console
// Single prediction
const result = await model.predict({
feature1: 'value1',
feature2: 42,
feature3: 'category_a'
});
// { prediction: 'positive', confidence: 0.87 }
// Batch prediction
const batchResult = await model.batchPredict([
{ feature1: 'val1', feature2: 10 },
{ feature1: 'val2', feature2: 20 }
]);
REST API
# Single prediction
POST /api/v1/ml/models/{model_id}/predict
Authorization: Zoho-oauthtoken {token}
{
"feature1": "value",
"feature2": 42
}
Pricing
| Resource |
Free Tier |
Cost |
| Training compute |
1 model/month |
$0.10/model/hour |
| Predictions |
500/month |
$0.001/prediction |
| Model storage |
1 model active |
$5/model/month |
Common Errors
| Error |
Cause |
Fix |
Model training stuck in PROCESSING |
Dataset too small (< 50 rows) or all rows have the same target value |
Add more varied data; QuickML requires at least 50 rows with distribution across classes |
Prediction returns null |
Feature columns in prediction request don't match training column names exactly |
Match feature names case-sensitively to training dataset headers |
Model not deployed error on predict |
Model trained but deployment step skipped |
Explicitly deploy model from Console → QuickML → Deploy before calling prediction API |
| Free tier prediction limit hit |
500 predictions/month free tier exhausted |
Upgrade plan or wait for next calendar month reset |
