sharkpy.predicting
==================

.. py:module:: sharkpy.predicting


Functions
---------

.. autoapisummary::

   sharkpy.predicting.predict
   sharkpy.predicting.predict_baseline
   sharkpy.predicting._validate_and_process_input


Module Contents
---------------

.. py:function:: predict(self, X=None)

   Make predictions using the trained model.

   :param X: dict, DataFrame, or array-like, optional
             Input samples to predict. If None, predicts on training data.
             Can be:
             - dict: Single prediction scenario {'feature1': value1, 'feature2': value2}
             - list of dicts: Multiple scenarios [{'feature1': value1}, {'feature1': value2}]
             - DataFrame: Multiple samples with feature columns
             - array-like: Raw feature values

   :returns: Predicted values
   :rtype: float, str, or array


.. py:function:: predict_baseline(self)

   Make a baseline prediction with all features at minimum values.

   :returns: Baseline prediction
   :rtype: float or str


.. py:function:: _validate_and_process_input(self, X)

   Helper method to validate and process input data