{
  "code": "def split_data(data: pd.DataFrame, parameters: Dict) -> Tuple:\n    \"\"\"Splits data into features and targets training and test sets.\n\n    Args:\n        data: Data containing features and target.\n        parameters: Parameters defined in parameters.yml.\n    Returns:\n        Split data.\n    \"\"\"\n    X = data[parameters[\"features\"]]\n    y = data[\"price\"]\n    X_train, X_test, y_train, y_test = train_test_split(\n        X, y, test_size=parameters[\"test_size\"], random_state=parameters[\"random_state\"]\n    )\n    return X_train, X_test, y_train, y_test\n",
  "filepath": "spaceflights-0175/src/spaceflights_0175/pipelines/data_science/nodes.py",
  "parameters": {
    "test_size": 0.2,
    "random_state": 3,
    "features": [
      "engines",
      "passenger_capacity",
      "crew",
      "d_check_complete",
      "moon_clearance_complete",
      "iata_approved",
      "company_rating",
      "review_scores_rating"
    ]
  },
  "inputs": ["Model Input Table", "Parameters"],
  "outputs": ["X Train", "X Test", "Y Train", "Y Test"],
  "run_command": "kedro run --to-nodes=split_data_node"
}