{
  "arguments": {
    "data": {
      "type_value": "Array",
      "description": "The data for which null values will be imputed."
    },
    "lower": {
      "type_value": "Array",
      "default_python": "None",
      "default_rust": "None",
      "description": "A lower bound on data elements for each column. Used only if `categories` is `None`."
    },
    "upper": {
      "type_value": "Array",
      "default_python": "None",
      "default_rust": "None",
      "description": "An upper bound on data elements for each column. Used only if `categories` is `None`."
    },
    "categories": {
      "default_python": "None",
      "type_value": "Jagged",
      "default_rust": "None",
      "description": "The set of categories you want to be represented for each column of the data, if the data is categorical. Atomic type must match atomic type of data."
    },
    "null_values": {
      "default_python": "None",
      "type_value": "Jagged",
      "default_rust": "None",
      "description": "The set of values that are considered null for each column of the data, if the data is categorical. Atomic type must match atomic type of data."
    },
    "weights": {
      "default_python": "None",
      "type_value": "Jagged",
      "default_rust": "None",
      "description": "Optional. The weight of each category when imputing. Uniform weights are used if not specified."
    },
    "distribution": {
      "type_value": "String",
      "default_python": "None",
      "default_rust": "None",
      "description": "The distribution to be used when imputing records. Used only if `categories` is `None`."
    },
    "shift": {
      "type_value": "Array",
      "default_python": "None",
      "default_rust": "None",
      "description": "The expectation of the Gaussian distribution to be used for imputation. Used only if `distribution` is `Gaussian`."
    },
    "scale": {
      "type_value": "Array",
      "default_python": "None",
      "default_rust": "None",
      "description": "The standard deviation of the Gaussian distribution to be used for imputation. Used only if `distribution` is `Gaussian`."
    }
  },
  "id": "Impute",
  "name": "impute",
  "options": {},
  "return": {
    "type_value": "Array",
    "description": "Data with null values replaced by imputed values."
  },
  "description": "Replaces null values with draws from a specified distribution.\n\nIf the `categories` argument is provided, the data are considered to be categorical regardless of atomic type and the elements provided in `null_value` will be replaced with those in `categories` according to `weights`.\n\nIf the `categories` argument is not provided, the data are considered to be numeric and elements that are `f64::NAN` will be replaced according to the specified distribution.",
  "proto_id": 27
}