def _process_parallel_coxph(inp):
"""
"""
node_id, activity, isdead, nbdays, seed, metadata_mat = inp
pvalue = coxph(activity,
isdead,
nbdays,
seed=seed,
metadata_mat=metadata_mat)
return node_id, pvalue
def _process_parallel_survival_feature_importance_per_cluster(inp):
"""
"""
feature, array, survival, metadata_mat, pval_thres = inp
nbdays, isdead = survival.T.tolist()
pvalue = coxph(array, isdead, nbdays, metadata_mat=metadata_mat)
if not np.isnan(pvalue) and pvalue < pval_thres:
return (feature, pvalue)
return None, None
def test_1_coxph_function(self):
"""test if the coxph function works """
from simdeep.coxph_from_r import coxph
isdead = [0, 1, 1, 1, 0, 1, 0, 0, 1, 0]
nbdays = [24, 10, 25, 50, 14, 10, 100, 10, 50, 10]
values = [0, 1, 1, 0, 1, 2, 0, 1, 0, 0]
pvalue = coxph(values, isdead, nbdays, isfactor=True)
self.assertTrue(isinstance(pvalue, float))
self.assertTrue(pvalue < 0.05)