@n8n-dev/n8n-nodes-amazonaws-machinelearning
v1.0.0
Published
Amazon Machine Learning public API definitions.
Maintainers
Readme
@n8n-dev/n8n-nodes-amazonaws-machinelearning
Stop writing amazonaws-machinelearning API integrations by hand.
Every time you connect n8n to amazonaws-machinelearning, you waste hours mapping endpoints, defining parameters, and debugging schemas. You copy-paste from docs, fix edge cases, and pray nothing breaks.
What if connecting n8n to amazonaws-machinelearning took 5 minutes, not half a day?
This node gives you 1+ resources out of the box: Default: with full CRUD operations, typed parameters, and zero manual configuration.
What You Get
- Zero boilerplate: Resources, operations, and fields are pre-configured and ready to use
- Full CRUD: Create, read, update, and delete support where the API allows it
- Typed parameters: No more guessing field types
- Built-in auth: API key authentication, ready to go
- Declarative: Native n8n performance, no custom execute() overhead
Install
npm install @n8n-dev/n8n-nodes-amazonaws-machinelearningOr in n8n:
- Settings → Community Nodes → Install
- Search:
@n8n-dev/n8n-nodes-amazonaws-machinelearning - Click Install
Quick Start
- Install the node (above)
- Add credentials: amazonaws-machinelearning API → paste your API key
- Drag the amazonaws-machinelearning node into your workflow
- Pick a resource → pick an operation → done.
That's it. No configuration files. No code. It just works.
Resources
- Post Add Tags
- Post Create Batch Prediction
- Post Create Data Source From RDS
- Post Create Data Source From Redshift
- Post Create Data Source From S 3
- Post Create Evaluation
- Post Create ML Model
- Post Create Realtime Endpoint
- Post Delete Batch Prediction
- Post Delete Data Source
- Post Delete Evaluation
- Post Delete ML Model
- Post Delete Realtime Endpoint
- Post Delete Tags
- Post Describe Batch Predictions
- Post Describe Data Sources
- Post Describe Evaluations
- Post Describe ML Models
- Post Describe Tags
- Post Get Batch Prediction
- Post Get Data Source
- Post Get Evaluation
- Post Get ML Model
- Post Predict
- Post Update Batch Prediction
- Post Update Data Source
- Post Update Evaluation
- Post Update ML Model
Why This Node?
Without this node:
- Hours of manual API integration
- Copy-pasting from amazonaws-machinelearning docs
- Debugging auth, pagination, error handling
- Maintaining your own client code
With this node:
- Install → configure → use. 5 minutes.
- Auto-generated from the official amazonaws-machinelearning OpenAPI spec
- Always up to date when the API changes
- Native n8n performance
Auto-Generated
This node was auto-generated from the official amazonaws-machinelearning OpenAPI specification using @n8n-dev/n8n-openapi-node-ultimate, then validated against the live API so you get accurate types and real parameters, not guesswork.
When the amazonaws-machinelearning API updates, this node updates too.
Support This Project
If this node saved you hours of work, consider supporting continued development, new APIs, better error handling, and faster updates.
License
MIT © kelvinzer0
