Type Alias Model

A model based on an algorithm within an experiment version.

type Model = {
    algoAbbrv?: ModelAlgorithmAbbreviation;
    algorithm?: string;
    anomalyRatio?: number;
    batchNum?: number;
    binaryImbalanceSampling?: BinaryImbalanceSampling;
    binningFeatures?: string[];
    columns?: string[];
    createdAt?: CreatedAt;
    description?: EntityDescription;
    droppedFeatures?: DroppedFeature[];
    errorMessage?: ErrorMessage;
    errors?: Errors;
    experimentVersionId?: ExperimentVersionId;
    hpoNum?: number;
    id?: EntityId;
    metrics?: ModelMetrics;
    modelState?: ModelState;
    name?: EntityName;
    powerTransformFeatures?: string[];
    samplingRatio?: number;
    seqNum?: number;
    status?: ModelStatus;
    updatedAt?: UpdatedAt;
}
Index

Properties

Model algorithm name abbreviation

algorithm?: string
anomalyRatio?: number
batchNum?: number

Batch number indicates the index of the experiment version fold (most relevant when HPO is enabled)

binaryImbalanceSampling?: BinaryImbalanceSampling
binningFeatures?: string[]
columns?: string[]
createdAt?: CreatedAt
description?: EntityDescription
droppedFeatures?: DroppedFeature[]
errorMessage?: ErrorMessage
errors?: Errors
experimentVersionId?: ExperimentVersionId
hpoNum?: number
metrics?: ModelMetrics
modelState?: ModelState

Model state. These are the state of the model in relation to deployments.

name?: EntityName
powerTransformFeatures?: string[]
samplingRatio?: number
seqNum?: number
status?: ModelStatus

Model status. These are the status of the model in relation to experiments (i.e. training status).

updatedAt?: UpdatedAt