//python
from everywhereml import iris_dataset, iris_classifier

iris_train, iris_test = iris_dataset.split(test_size-0.3)
iris_classifier.fit(iris_train)

iris_classifier.to_arduino(instance_name="classifier", class_map= iris_dataset.class_map)
//arduino 
#include "classifier.h"

void setup(){
  Serial.begin(115200);
}

void loop(){
  //any numbers
  float features[4] = {6.1,2.3,5.5,6.2};

  Serial.print("predicited class: ");
  Serial.println(classifier.predict(features));
  Serial.print("predictied class label: ");
  Serial.println(classifier.predictLabel(features));
}