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� ��'j� � �| � d Z ddlmZmZ ddlZddlZddlm Z ddl m Z ddl m Z ddlmZ ddlmZ G d � d e e � Zy) zuRegressor utilities for MySQL Connector/Python. Provides a scikit-learn compatible regressor backed by HeatWave ML. � )�Optional�UnionN)�RegressorMixin)� MyBaseMLModel)�ML_TASK)� copy_dict)�MySQLConnectionAbstractc � � e Zd ZdZ d dedee dee dee dee f d�Zd e e j e j f d e j fd �Zd e e j e j f d e j fd �Zy)� MyRegressora� MySQL HeatWave scikit-learn compatible regressor estimator. Provides prediction output from a regression model deployed in MySQL, and manages fit, explain, and prediction options as per HeatWave ML interface. Attributes: predict_extra_options (dict): Optional parameter dict passed to the backend for prediction. _model (MyModel): Underlying interface for database model operations. fit_extra_options (dict): See MyBaseMLModel. explain_extra_options (dict): See MyBaseMLModel. Args: db_connection (MySQLConnectionAbstract): Active MySQL connector DB connection. model_name (str, optional): Custom name for the model. fit_extra_options (dict, optional): Extra options for fitting. explain_extra_options (dict, optional): Extra options for explanations. predict_extra_options (dict, optional): Extra options for predictions. Methods: predict(X): Predict regression target. N� db_connection� model_name�fit_extra_options�explain_extra_options�predict_extra_optionsc � � t j | |t j ||�� t |� | _ t |� | _ y)a Initialize a MyRegressor. Args: db_connection: Active MySQL connector database connection. model_name: Optional, custom model name. fit_extra_options: Optional fit options. explain_extra_options: Optional explain options. predict_extra_options: Optional prediction options. Raises: DatabaseError: If a database connection issue occurs. If an operational error occurs during execution. )r r N)r �__init__r � REGRESSIONr r r )�selfr r r r r s �F/opt/nydus/tmp/pip-target-k0fmikie/lib/python/mysql/ai/ml/regressor.pyr zMyRegressor.__init__F sE � �. � � � � � � � �!� /� � &/�/D�%E��"�%.�/D�%E��"� �X�returnc �v � | j j || j �� }|d j � S )aZ Predict a continuous target for the input features using the MySQL model. Args: X: Input samples as a numpy array or pandas DataFrame. Returns: ndarray: Array of predicted target values, shape (n_samples,). Raises: DatabaseError: If provided options are invalid or unsupported, or if the model is not initialized, i.e., fit or import has not been called If a database connection issue occurs. If an operational error occurs during execution. ��options� Prediction)�_model�predictr �to_numpy)r r �results r r zMyRegressor.predicth s7 � �( ���$�$�Q��0J�0J�$�K���l�#�,�,�.�.r c �R � | j j || j �� y)ai Explain model predictions using provided data. References: https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-explain-table.html A full list of supported options can be found under "ML_EXPLAIN_TABLE Options" Args: X: DataFrame for which predictions should be explained. Returns: DataFrame containing explanation details (feature attributions, etc.) Raises: DatabaseError: If provided options are invalid or unsupported, or if the model is not initialized, i.e., fit or import has not been called If a database connection issue occurs. If an operational error occurs during execution. Notes: Temporary input/output tables are cleaned up after explanation. r N)r �explain_predictionsr )r r s r r" z MyRegressor.explain_predictions s! � �6 � � �'�'��4�3M�3M�'�Nr )NNNN)�__name__� __module__� __qualname__�__doc__r r �str�dictr r �pd� DataFrame�np�ndarrayr r" � r r r r . s� � ��4 %)�,0�04�04� F�.� F� �S�M� F� $�D�>� F� (��~� F� (��~� F�D/��r�|�|�R�Z�Z�/�0�/� ���/�.O��r�|�|�R�Z�Z�/�0�O� � � �Or r )r& �typingr r �numpyr+ �pandasr) � sklearn.baser �mysql.ai.ml.baser �mysql.ai.ml.modelr �mysql.ai.utilsr �mysql.connector.abstractsr r r- r r �<module>r6 s6 ��:� #� � � '� *� %� $� =�lO�-� � lOr
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