code: def iris():
      import pandas as pd
      from tensorflow.keras.utils import to_categorical
  
      base = "https://raw.githubusercontent.com/autonomio/datasets/master/autonomio-datasets/"
      df = pd.read_csv(base + "iris.csv")
      df["species"] = df["species"].factorize()[0]
      df = df.sample(len(df))
      y = to_categorical(df["species"])
      x = df.iloc[:, :-1].values
  
      y = to_categorical(df["species"])
      x = df.iloc[:, :-1].values
  
      return x, y
  
label_desc: Use image node_id 4 for calling a global function with example usage: iris() and returns: x,  y