@procDecorator.proc_decorator({'<STR_LIT:input>', '<STR_LIT:target>', '<STR_LIT:train>'})<EOL><INDENT>def hpneural(self, data: ['<STR_LIT>', str] = None,<EOL>architecture: str = None,<EOL>code: str = None,<EOL>hidden: [str, int] = None,<EOL>id: str = None,<EOL>input: [str, list, dict] = None,<EOL>partition: str = None,<EOL>score: [str, bool, '<STR_LIT>'] = True,<EOL>target: [str, list, dict] = None,<EOL>train: [str, dict] = None,<EOL>procopts: str = None,<EOL>stmtpassthrough: str = None,<EOL>**kwargs: dict) -> '<STR_LIT>':<DEDENT>
Python method to call the HPNEURAL procedure

Documentation link:
https://support.sas.com/documentation/solutions/miner/emhp/14.1/emhpprcref.pdf

:param data: SASdata object or string. This parameter is required.
:parm architecture: The architecture variable can only be a string type.
:parm code: The code variable can only be a string type.
:parm hidden: The hidden variable can only be a string type. This statement is required if there is a Train statement and the architecture is not logistic.
:parm id: The id variable can only be a string type.
:parm input: The input variable can be a string, list or dict type. It refers to the dependent, y, or label variable. This parameter is required
:parm partition: The partition variable can only be a string type.
:parm score: The score variable can only be a string type.
:parm target: The target variable can be a string, list or dict type. It refers to the dependent, y, or label variable. This parameter is required
:parm train: The train variable can be a string or dict type. This parameter is required
:parm procopts: The procopts variable is a generic option available for advanced use. It can only be a string type.
:parm stmtpassthrough: The stmtpassthrough variable is a generic option available for advanced use. It can only be a string type.
:return: SAS Result Object