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# Autogenerated By   : src/main/python/generator/generator.py
# Autogenerated From : scripts/builtin/cox.dml

from typing import Dict, Iterable

from systemds.operator import OperationNode, Matrix
from systemds.script_building.dag import OutputType
from systemds.utils.consts import VALID_INPUT_TYPES

def cox(X: OperationNode, TE: OperationNode, F: OperationNode, R: OperationNode, **kwargs: Dict[str, VALID_INPUT_TYPES]):
    """
    :param X: Location to read the input matrix X containing the survival data 
    :param containing: information
    :param TE: Column indices of X as a column vector which contain timestamp 
    :param F: Column indices of X as a column vector which are to be used for 
    :param fitting: model
    :param R: If factors (categorical variables) are available in the input matrix
    :param the: X
    :param each: needs to be removed from X; in this case the start
    :param and: corresponding to the baseline level need to be the same;
    :param if: not provided by default all variables are considered to be continuous 
    :param alpha: Parameter to compute a 100*(1-alpha)% confidence interval for the betas  
    :param tol: Tolerance ("epsilon")
    :param moi: Max. number of outer (Newton) iterations
    :param mii: Max. number of inner (conjugate gradient) iterations, 0 = no max
    :return: 'OperationNode' containing a summary of some statistics of the fitted model: & matrix rt that contains the order-preserving recoded timestamps from x & which is matrix x with sorted timestamps & matrix mf that contains the column indices of x with the baseline factors removed (if available) 
    """
    params_dict = {'X':X, 'TE':TE, 'F':F, 'R':R}
    params_dict.update(kwargs)
    return OperationNode(X.sds_context, 'cox', named_input_nodes=params_dict, output_type=OutputType.LIST, number_of_outputs=6, output_types=[OutputType.MATRIX, OutputType.MATRIX, OutputType.MATRIX, OutputType.MATRIX, OutputType.MATRIX, OutputType.MATRIX])


    