{
  "arguments": {
    "data": {
      "type_value": "Array",
      "description": "Atomic type must be numeric."
    },
    "candidates": {
      "type_value": "Array",
      "default_python": "None",
      "default_rust": "None",
      "description": "Set from which the Exponential mechanism will return an element. Type must match with atomic type of data. This value must be column-conformable with data."
    }
  },
  "id": "Quantile",
  "name": "quantile",
  "options": {
    "alpha": {
      "type_proto": "double",
      "type_rust": "f64",
      "description": "Desired quantiles, defined on `[0,1]`. Examples: 0: min, 0.5: median, 1: max"
    },
    "interpolation": {
      "type_proto": "string",
      "type_rust": "String",
      "default_python": "\"midpoint\"",
      "default_rust": "String::from(\"midpoint\")",
      "description": "Interpolation strategy. One of [`lower`, `upper`, `midpoint`, `nearest`, `linear`]"
    }
  },
  "return": {
    "type_value": "Array",
    "description": "Quantile values for each column."
  },
  "description": "Get values corresponding to specified quantiles for each column of the data.",
  "proto_id": 47
}