{
  "type" : "record",
  "name" : "TrainingExample",
  "namespace" : "com.linkedin.metronome.avro.generated",
  "fields" : [ {
    "name" : "uid",
    "type" : [ "null", "string", "long", "int" ],
    "doc" : "a unique id for the training event",
    "default" : null
  }, {
    "name" : "label",
    "type" : [ "double"],
    "doc" : "label/response of the event"
  }, {
    "name" : "grouping",
    "type" : [ "string" ],
    "doc" : "The store grouping"
  }, {
    "name" : "fixedfeatures",
    "type" : {
      "type" : "array",
      "items" : {
        "type" : "record",
        "name" : "FixedFeature",
        "doc" : "a feature is a named numeric value",
        "fields" : [ {
          "name" : "name",
          "type" : "string"
        }, {
          "name" : "value",
          "type" : "double"
        }, {
          "name" : "term",
          "type" : [ "null", "string" ],
          "default" : null
        } ]
      }
    },
    "doc" : "fixed effects features describing the event"
  }, {
    "name" : "randomfeatures",
    "type" : {
      "type" : "array",
      "items" : {
        "type" : "record",
        "name" : "RandomFeature",
        "doc" : "a feature is a named numeric value",
        "fields" : [ {
          "name" : "name",
          "type" : "string"
        }, {
          "name" : "value",
          "type" : "double"
        }, {
          "name" : "term",
          "type" : [ "null", "string" ],
          "default" : null
        } ]
      }
    },
    "doc" : "random effects features describing the event"
  },{
    "name" : "metadataMap",
    "type" : [ "null", {
      "type" : "map",
      "values" : [ "boolean", "int", "long", "float", "double", "string" ]
    } ],
    "doc" : "optional field. allows attaching arbitrary non-feature metadata to each event",
    "default" : null
  }, {
    "name" : "weight",
    "type" : [ "null", "int", "long", "float", "double" ],
    "doc" : "optional field. specifies strength of observation",
    "default" : null
  }, {
    "name" : "offset",
    "type" : [ "null", "int", "long", "float", "double" ],
    "doc" : "optional field. when non-zero, admm will learn coefficient betas with the added offset",
    "default" : null
  } ]
}