# maxframe.learn.contrib.xgboost.predict

### maxframe.learn.contrib.xgboost.predict(model, data, output_margin=False, pred_leaf=False, pred_contribs=False, approx_contribs=False, pred_interactions=False, validate_features=True, training=False, iteration_range=None, strict_shape=False, \*\*kwargs)

Using MaxFrame XGBoost model to predict data.

* **Parameters:**
  **mode.** (*Parameters are the same as xgboost.train. The predict* *(* *)* *is lazy-execution*)
* **Returns:**
  **results**
* **Return type:**
  Booster
