BigML Evaluations API
Evaluate model performance against a test dataset
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OpenAPI Specification
openapi: 3.2.0
info:
title: BigML REST Anomaly Detection Evaluations API
description: 'The BigML REST API provides programmatic access to the full BigML machine learning platform. Create and manage sources, datasets, models, ensembles, clusters, anomaly detectors, topic models, time series forecasters, deepnets, linear and logistic regression models, PCA, and generate predictions — both individual and batch — over HTTPS using username and API key authentication.
'
version: 1.0.0
contact:
name: BigML Support
url: https://support.bigml.com/
license:
name: Apache 2.0
url: https://www.apache.org/licenses/LICENSE-2.0
x-api-id: bigml:bigml-api
x-provider: https://bigml.com/
servers:
- url: https://bigml.io/andromeda
description: BigML production API (use username/api_key query params)
security:
- ApiKeyAuth: []
tags:
- name: Evaluations
description: Evaluate model performance against a test dataset
paths:
/evaluation:
get:
summary: List Evaluations
operationId: listEvaluations
tags:
- Evaluations
parameters:
- $ref: '#/components/parameters/username'
- $ref: '#/components/parameters/apiKey'
- $ref: '#/components/parameters/limit'
- $ref: '#/components/parameters/offset'
responses:
'200':
description: List of evaluations
content:
application/json:
schema:
$ref: '#/components/schemas/ListResponse'
post:
summary: Create an Evaluation
operationId: createEvaluation
tags:
- Evaluations
parameters:
- $ref: '#/components/parameters/username'
- $ref: '#/components/parameters/apiKey'
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- model
- dataset
properties:
model:
type: string
dataset:
type: string
responses:
'201':
description: Evaluation created
content:
application/json:
schema:
$ref: '#/components/schemas/Evaluation'
/evaluation/{resource_id}:
parameters:
- $ref: '#/components/parameters/resourceId'
- $ref: '#/components/parameters/username'
- $ref: '#/components/parameters/apiKey'
get:
summary: Get an Evaluation
operationId: getEvaluation
tags:
- Evaluations
responses:
'200':
description: Evaluation details
content:
application/json:
schema:
$ref: '#/components/schemas/Evaluation'
delete:
summary: Delete an Evaluation
operationId: deleteEvaluation
tags:
- Evaluations
responses:
'204':
description: Evaluation deleted
components:
schemas:
Evaluation:
allOf:
- $ref: '#/components/schemas/ResourceBase'
- type: object
properties:
model:
type: string
dataset:
type: string
result:
type: object
ListResponse:
type: object
properties:
meta:
type: object
properties:
limit:
type: integer
offset:
type: integer
total_count:
type: integer
previous:
type:
- string
- 'null'
next:
type:
- string
- 'null'
objects:
type: array
items:
$ref: '#/components/schemas/ResourceBase'
ResourceStatus:
type: object
properties:
code:
type: integer
description: HTTP-style status code (1=queued,2=started,3=waiting,4=processing,5=finished,0=unknown,-1=failed)
message:
type: string
elapsed:
type: number
description: Processing time in milliseconds.
ResourceBase:
type: object
properties:
resource:
type: string
description: Resource identifier (e.g., source/5f1a2b3c4d5e6f7890abcdef)
created:
type: string
format: date-time
updated:
type: string
format: date-time
status:
$ref: '#/components/schemas/ResourceStatus'
name:
type: string
tags:
type: array
items:
type: string
private:
type: boolean
parameters:
resourceId:
name: resource_id
in: path
required: true
schema:
type: string
pattern: ^[a-f0-9]{24}$
description: The 24-character hexadecimal resource identifier.
limit:
name: limit
in: query
required: false
schema:
type: integer
default: 20
maximum: 1000
description: Number of resources to return.
apiKey:
name: api_key
in: query
required: true
schema:
type: string
description: BigML API key.
offset:
name: offset
in: query
required: false
schema:
type: integer
default: 0
description: Index of the first resource to return.
username:
name: username
in: query
required: true
schema:
type: string
description: BigML username.
securitySchemes:
ApiKeyAuth:
type: apiKey
in: query
name: username
description: 'Authenticate with username and api_key as query parameters. Example: ?username=myuser&api_key=a1b2c3...
'
x-tagGroups:
- name: Data Management
tags:
- Sources
- Datasets
- Projects
- Data Connectors
- name: Supervised Learning
tags:
- Models
- Ensembles
- Supervised Learning
- Evaluations
- Predictions
- name: Unsupervised Learning
tags:
- Clustering
- Anomaly Detection
- Unsupervised Learning
- Time Series
- name: Batch Operations
tags:
- Batch Operations
- name: Automation
tags:
- WhizzML Scripting