Package io.datahubproject.openapi.generated

Class MLModelFactors

  • @Validated
@Generated(value="io.swagger.codegen.v3.generators.java.SpringCodegen",
           date="2023-12-06T11:25:47.362934Z[Etc/UTC]")
public class MLModelFactors
extends java.lang.Object
    Factors affecting the performance of the MLModel.

    • Constructor Detail

      • MLModelFactors

        public MLModelFactors()

    • Method Detail

      • groups

        public MLModelFactors groups​(java.util.List<java.lang.String> groups)

      • addGroupsItem

        public MLModelFactors addGroupsItem​(java.lang.String groupsItem)

      • getGroups

        public java.util.List<java.lang.String> getGroups()
        Groups refers to distinct categories with similar characteristics that are present in the evaluation data instances. For human-centric machine learning MLModels, groups are people who share one or multiple characteristics.
        Returns:
        groups

      • setGroups

        public void setGroups​(java.util.List<java.lang.String> groups)

      • instrumentation

        public MLModelFactors instrumentation​(java.util.List<java.lang.String> instrumentation)

      • addInstrumentationItem

        public MLModelFactors addInstrumentationItem​(java.lang.String instrumentationItem)

      • getInstrumentation

        public java.util.List<java.lang.String> getInstrumentation()
        The performance of a MLModel can vary depending on what instruments were used to capture the input to the MLModel. For example, a face detection model may perform differently depending on the camera's hardware and software, including lens, image stabilization, high dynamic range techniques, and background blurring for portrait mode.
        Returns:
        instrumentation

      • setInstrumentation

        public void setInstrumentation​(java.util.List<java.lang.String> instrumentation)

      • environment

        public MLModelFactors environment​(java.util.List<java.lang.String> environment)

      • addEnvironmentItem

        public MLModelFactors addEnvironmentItem​(java.lang.String environmentItem)

      • getEnvironment

        public java.util.List<java.lang.String> getEnvironment()
        A further factor affecting MLModel performance is the environment in which it is deployed.
        Returns:
        environment

      • setEnvironment

        public void setEnvironment​(java.util.List<java.lang.String> environment)

      • equals

        public boolean equals​(java.lang.Object o)
        Overrides:
        equals in class java.lang.Object

      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class java.lang.Object

      • toString

        public java.lang.String toString()
        Overrides:
        toString in class java.lang.Object