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

algoAbbrv? algorithm? anomalyRatio? batchNum? binaryImbalanceSampling? binningFeatures? columns? createdAt? description? droppedFeatures? errorMessage? errors? experimentVersionId? hpoNum? id? metrics? modelState? name? powerTransformFeatures? samplingRatio? seqNum? status? updatedAt?

Properties

algoAbbrv?: ModelAlgorithmAbbreviation

Model algorithm name abbreviation

algorithm?: string

The algorithm used by this model

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[]

Dataset columns selected as features

createdAt?: CreatedAt

Timestamp when this was created

description?: EntityDescription

Description of this entity

droppedFeatures?: DroppedFeature[]

Features dropped because they're unsuitable

errorMessage?: ErrorMessage

JSON string of error object

errors?: Errors

JSON string with list of error objects

experimentVersionId?: ExperimentVersionId

ID of the experiment version

hpoNum?: number

Version number of the hyperparameter optimization

id?: EntityId

ID of this entity

metrics?: ModelMetrics

Model metrics based on the type of model

modelState?: ModelState

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

name?: EntityName

Name of this entity

powerTransformFeatures?: string[]
samplingRatio?: number

Ratio of sample data in relation to the dataset

seqNum?: number

Model sequence number within the experiment version

status?: ModelStatus

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

updatedAt?: UpdatedAt

Timestamp when this was updated

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