plot_pipeline_parameters
========================

.. py:module:: plot_pipeline_parameters

.. autoapi-nested-parse::

   Pipeline parameter analysis plotting module for ML results analysis.
   Focuses on visualizing the impact of data transformations and pipeline settings on model performance.



Classes
-------

.. autoapisummary::

   plot_pipeline_parameters.PipelineParameterPlotter


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

.. py:class:: PipelineParameterPlotter(data: pandas.DataFrame)

   Initializes the PipelineParameterPlotter.

   :param data: Results DataFrame, must contain columns for
                pipeline parameters and performance metrics.
   :type data: pd.DataFrame

   :raises ValueError: If no pipeline parameter columns are found in the data.


   .. py:attribute:: data


   .. py:attribute:: clean_data


   .. py:attribute:: categorical_params
      :value: ['resample', 'scale', 'param_space_size', 'percent_missing']



   .. py:attribute:: continuous_params


   .. py:attribute:: available_categorical


   .. py:attribute:: available_continuous


   .. py:method:: plot_categorical_parameters(metric: str = 'auc', figsize: Optional[Tuple[int, int]] = None) -> None

      Creates box plots for categorical pipeline parameters.

      :param metric: The performance metric to plot.
                     Defaults to 'auc'.
      :type metric: str, optional
      :param figsize: Figure size for the
                      plot. Defaults to None.
      :type figsize: Optional[Tuple[int, int]], optional

      :raises ValueError: If the specified metric is not found in the data.



   .. py:method:: plot_continuous_parameters(metric: str = 'auc', figsize: Optional[Tuple[int, int]] = None) -> None

      Creates scatter plots for continuous pipeline parameters.

      :param metric: The performance metric to plot.
                     Defaults to 'auc'.
      :type metric: str, optional
      :param figsize: Figure size for the
                      plot. Defaults to None.
      :type figsize: Optional[Tuple[int, int]], optional

      :raises ValueError: If the specified metric is not found in the data.