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BigML Unsupervised Learning API

Topic models, association rules, and PCA

BigML Unsupervised Learning API is one of 15 APIs that BigML publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

This API exposes 1 JSON Schema definition.

Tagged areas include Unsupervised Learning. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and 1 JSON Schema.

This API exposes 15 operations across 6 paths, and defines 6 schemas. It is described by OpenAPI 3.0.3, at version 1.0.0.

Requests are made against a single base URL, https://bigml.io/andromeda.

15 operations 6 paths 6 schemas 3 DELETE6 GET3 POST3 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.0.3
API Version
1.0.0
Base URL
https://bigml.io
Authentication
API Key
License
Resource Areas
1

Authentication & Security 1

BigML Unsupervised Learning API declares 1 security scheme for authenticating requests. An API key is passed in the query as username (ApiKeyAuth). By default, every request must be authenticated.

  • ApiKeyAuth — Authenticate with username and apikey as query parameters. Example: ?username=myuser&apikey=a1b2c3...

Paths & Operations 15

Across 6 paths, the API surfaces 15 operations — 3 DELETE, 6 GET, 3 POST, 3 PUT. Each is listed below with its method, path, parameters, and response codes.

Unsupervised Learning 15

Topic models, association rules, and PCA

GET
/topicmodel
List Topic Models
listTopicModels 4 params → 200
POST
/topicmodel
Create a Topic Model
createTopicModel 2 params body → 201
GET
/topicmodel/{resource_id}
Get a Topic Model
getTopicModel 3 params → 200
PUT
/topicmodel/{resource_id}
Update a Topic Model
updateTopicModel 3 params body → 200
DELETE
/topicmodel/{resource_id}
Delete a Topic Model
deleteTopicModel 3 params → 204
GET
/association
List Associations
listAssociations 4 params → 200
POST
/association
Create an Association
createAssociation 2 params body → 201
GET
/association/{resource_id}
Get an Association
getAssociation 3 params → 200
PUT
/association/{resource_id}
Update an Association
updateAssociation 3 params body → 200
DELETE
/association/{resource_id}
Delete an Association
deleteAssociation 3 params → 204
GET
/pca
List PCA Models
listPCAs 4 params → 200
POST
/pca
Create a PCA Model
createPCA 2 params body → 201
GET
/pca/{resource_id}
Get a PCA Model
getPCA 3 params → 200
PUT
/pca/{resource_id}
Update a PCA Model
updatePCA 3 params body → 200
DELETE
/pca/{resource_id}
Delete a PCA Model
deletePCA 3 params → 204

Schemas 6

The contract defines 6 schemas that model the data the API accepts and returns. The most detailed are ResourceBase (7 properties), ResourceStatus (3 properties), ListResponse (2 properties). Each schema is shown below with its type and property counts.

ResourceStatus
object
3 properties
TopicModel
PCA
Association
ResourceBase
object
7 properties
ListResponse
object
2 properties

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

bigml-unsupervised-learning-api-openapi.yml Raw ↑

Other APIs BigML publishes across the network.

BigML Anomaly Detection API
BigML Batch Operations API
BigML Clustering API
BigML Data Connectors API
BigML Datasets API
BigML Ensembles API
BigML Evaluations API
BigML Models API
BigML Predictions API
BigML Projects API
BigML Sources API
BigML Supervised Learning API
Where this information came from

This is an independent, third-party profile of BigML Unsupervised Learning API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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