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BigML Inc API
BigML Inc 2 https://au.bigml.io/ / /{id}?{auth} source dataset model ensemble prediction batchprediction evaluation anomal...
BigML Inc 3 https://au.bigml.io/…{JSON} {JSON} Operation HTTP Method Semantics CREATE POST Creates a new resource. Returns...
BigML Inc 4 Operation HTTP Method Binding Method CREATE POST api.create_<resource>(from, {opts}) RETRIEVE GET api.get_<res...
BigML Inc 5 BigML API Docs https://bigml.com/developers
BigML Inc 6 BigML Python Docs https://bigml.readthedocs.org/en/latest/
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20 août 2015

[Tutorial] using big ml's simple api for classification, clustering and anomaly detection - Poul Petersen

The BigML team has been working hard for the past four years to democratize machine learning – making it more consumable, programmable, and scalable. Our well defined workflow and powerful visualizations make it quick and easy for anyone to rapidly prototype ML solutions. However, the stunning user interface makes it easy to overlook the fact that the heart of BigML is a powerful and extensible Machine Learning API. In fact, our UI team uses the same API we expose to our customers.

In this tutorial you will learn how to perform classification, clustering, and anomaly detection tasks – all using the BigML REST API. By the end of this presentation, you will be ready to code your own predictive application in python using BigML.

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[Tutorial] using big ml's simple api for classification, clustering and anomaly detection - Poul Petersen

  1. 1. BigML Inc API
  2. 2. BigML Inc 2 https://au.bigml.io/ / /{id}?{auth} source dataset model ensemble prediction batchprediction evaluation anomaly cluster andromeda dev dev/andromeda • Path elements: • /andromeda specifies the API version (optional) • /dev specifies development mode • if not specified, then latest API in production mode • {id} is required for PUT and DELETE • {auth} contains url parameters username and api_key • api_key can be an alternative key
  3. 3. BigML Inc 3 https://au.bigml.io/…{JSON} {JSON} Operation HTTP Method Semantics CREATE POST Creates a new resource. Returns a JSON document including a unique identifier. RETRIEVE GET Retrieves either a specific resource or a list of resources. UPDATE PUT Updates a resource. Only certain fields are putable. DELETE DELETE Deletes a resource
  4. 4. BigML Inc 4 Operation HTTP Method Binding Method CREATE POST api.create_<resource>(from, {opts}) RETRIEVE GET api.get_<resource>(id, {opts}) api.list_<resource>({opts}) UPDATE PUT api.update_<resource>(id, {opts}) DELETE DELETE api.delete_<resource>(id) Binding Overview • Where <resource> is one of: source, dataset, model, ensemble, evaluation, etc • id is a resource identifier or resource dict • from is a resource identifier, dict, or string depending on context
  5. 5. BigML Inc 5 BigML API Docs https://bigml.com/developers
  6. 6. BigML Inc 6 BigML Python Docs https://bigml.readthedocs.org/en/latest/

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