Lytics Segment ML API
SegmentML provides a framework for building custom machine learningmodels directly in Lytics. Lytics SegmentML models are self-training,continuously-updating and real-time.SegmentML models are built by identifying:1. A segment of users, called the **Target Segment** who exhibit behavior for *prediction*,2. A segment of users, called the **Source Segment** to be candidates for model *evaluation*, or scoring.Models are built with a variety of pre-selected candidate features, which include behavioral scores and content affinities, and can additionally support any custom field available in Lytics user profiles.Attributes concerning the SegmentML model's setup configuration are detailed in **SegmentML Create**. Attributes concerning the model's results are defined in **SegmentML Model Fetch**.Generic attributes from SegmentML model GET and POST:| field | DataType | Description ||-------------- |------------------|---------------|| name | string | The model's name| state | string | The state of the model: Either *building*, *invalid*, or *complete*| reason | string | If the state is *invalid* the reason will denote the error| created | string | Date and time the model was created
Lytics Segment ML API is one of 34 APIs that Lytics publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include SegmentML. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and an API reference.
This API exposes 4 operations across 3 paths, and defines 2 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.
Requests are made against a single base URL, https://api.lytics.io.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Lytics Segment ML API declares
1 security scheme
for authenticating requests.
An API key is passed in the header as Authorization (ApiKeyAuth).
Paths & Operations 4
Across 3 paths, the API surfaces 4 operations — 1 DELETE, 2 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.
SegmentML provides a framework for building custom machine learning models directly in Lytics. Lytics SegmentML models are self-training, continuously-updating and real-time. Segm…
Schemas 2
The contract defines 2 schemas that model the data the API accepts and returns. The most detailed are SegmentMLModel (5 properties), SegmentMLDependenciesModel (3 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 Lytics 12
Other APIs Lytics publishes across the network.
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