BigML Supervised Learning API
Logistic regression, linear regression, and deep neural network models
BigML Supervised 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 Supervised 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.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
BigML Supervised 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.
Logistic regression, linear regression, and deep neural network models
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.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from BigML 12
Other APIs BigML publishes across the network.
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