classification_k1_maybe.json

{
  "name": "rapidminer",
  "method": "map",
  "doc": "RapidMiner Model",
  "metadata": {
    "docker_image": ""
  },
  "input": {
    "doc": "Input is the list of covariables and groups",
    "name": "DependentVariables",
    "type": "record",
    "fields": [
      {
        "name": "input1",
        "type": "double"
      },
      {
        "name": "input2",
        "type": "double"
      }
    ]
  },
  "output": {
    "doc": "Output is the estimate of the variable",
    "type": "string"
  },
  "cells": {
    "query": {
      "type": {
        "doc": "Definition of the query that has produced this model",
        "name": "Query",
        "type": "record",
        "fields": [
          {
            "doc": "Dependent variable",
            "name": "variable",
            "type": "string"
          },
          {
            "doc": "List of explanatory variables",
            "name": "covariables",
            "type": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          {
            "doc": "SQL query",
            "name": "sql",
            "type": "string"
          },
          {
            "doc": "Number of records selected by the query",
            "name": "count",
            "type": "int"
          }
        ]
      },
      "init": {
        "variable": "output",
        "covariables": [
          "input1",
          "input2"
        ],
        "sql": "NO QUERY",
        "count": 7
      }
    },
    "model": {
      "type": {
        "type": "record",
        "name": "knn_model",
        "fields": [
          {
            "name": "k",
            "type": "int"
          },
          {
            "name": "samples",
            "type": {
              "type": "array",
              "items": {
                "type": "record",
                "name": "sample",
                "fields": [
                  {
                    "name": "vars",
                    "type": {
                      "type": "array",
                      "items": "double"
                    }
                  },
                  {
                    "name": "label",
                    "type": "string"
                  }
                ]
              }
            }
          }
        ]
      },
      "init": {
        "k": 1,
        "samples": [
          {
            "vars": [
              1.2,
              2.4
            ],
            "label": "YES"
          },
          {
            "vars": [
              6.7,
              8.9
            ],
            "label": "NO"
          },
          {
            "vars": [
              4.6,
              23.4
            ],
            "label": "NO"
          },
          {
            "vars": [
              7.6,
              5.4
            ],
            "label": "YES"
          },
          {
            "vars": [
              1.2,
              1.6
            ],
            "label": "MAYBE"
          },
          {
            "vars": [
              3.4,
              4.7
            ],
            "label": "YES"
          },
          {
            "vars": [
              3.4,
              6.5
            ],
            "label": "NO"
          }
        ]
      }
    }
  },
  "pools": {},
  "begin": [],
  "action": [
    {
      "let": {
        "model": {
          "cell": "model"
        }
      }
    },
    {
      "let": {
        "knn": {
          "model.neighbor.nearestK": [
            "model.k",
            {
              "u.toArray": [
                "input"
              ]
            },
            "model.samples",
            {
              "params": [
                {
                  "x": {
                    "type": "array",
                    "items": "double"
                  }
                },
                {
                  "y": "sample"
                }
              ],
              "ret": "double",
              "do": {
                "metric.simpleEuclidean": [
                  "x",
                  "y.vars"
                ]
              }
            }
          ]
        }
      }
    },
    {
      "let": {
        "label_list": {
          "type": {
            "type": "array",
            "items": "string"
          },
          "value": []
        }
      }
    },
    {
      "foreach": "neighbour",
      "in": "knn",
      "do": [
        {
          "set": {
            "label_list": {
              "a.append": [
                "label_list",
                "neighbour.label"
              ]
            }
          }
        }
      ]
    },
    {
      "a.mode": [
        "label_list"
      ]
    }
  ],
  "end": [],
  "fcns": {
    "toArray": {
      "params": [
        {
          "m": "DependentVariables"
        }
      ],
      "ret": {
        "type": "array",
        "items": "double"
      },
      "do": [
        {
          "type": {
            "type": "array",
            "items": "double"
          },
          "new": [
            {
              "attr": "m",
              "path": [
                {
                  "string": "input1"
                }
              ]
            },
            {
              "attr": "m",
              "path": [
                {
                  "string": "input2"
                }
              ]
            }
          ]
        }
      ]
    }
  }
}