@procDecorator.proc_decorator({'<STR_LIT:input>', '<STR_LIT:target>'})<EOL><INDENT>def treeboost(self, data: ['<STR_LIT>', str] = None,<EOL>assess: str = None,<EOL>code: str = None,<EOL>freq: str = None,<EOL>importance: str = None,<EOL>input: [str, list, dict] = None,<EOL>performance: str = None,<EOL>save: [str, bool] = True,<EOL>score: [str, bool, '<STR_LIT>'] = True,<EOL>subseries: str = None,<EOL>target: [str, list, dict] = None,<EOL>procopts: str = None,<EOL>stmtpassthrough: str = None,<EOL>**kwargs: dict) -> '<STR_LIT>':<DEDENT>
Python method to call the TREEBOOST 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 assess: The assess variable can only be a string type.
:parm code: The code variable can only be a string type.
:parm freq: The freq variable can only be a string type.
:parm importance: The importance 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 performance: The performance variable can only be a string type.
:parm save: The save variable can be a string or boolean type. The default is True to create common output datasets
:parm score: The score variable can only be a string type.
:parm subseries: The subseries 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 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