def set_params(self, **kwargs):
Basic.set_params(self, **kwargs)
self.p = kwargs.get('p', 0.6)
self.tau = kwargs.get('tau', [0.001, 0.09])
self.epsilon = kwargs.get('epsilon', 0.005)
self.partition_min_pts = 2
self.min_pts = 5
self.SCORE_ID = kwargs['SCORE_ID']
self.inf_bounds = None
self.min_improvement = kwargs.get('min_improvement', .01)
self.err_funcs = kwargs.get('err_funcs', None)
self.max_wait = kwargs.get('max_wait', 2*60*60)
self.start_time = None
self.sampler = Sampler(self.SCORE_ID)
self.seen = set()
self.is_done = False
self.roots = []
if self.err_funcs is None:
raise RuntimeError("errfuncs is none")
def set_params(self, **kwargs):
Basic.set_params(self, **kwargs)
self.p = kwargs.get('p', 0.6)
self.tau = kwargs.get('tau', [0.001, 0.15])
self.epsilon = kwargs.get('epsilon', 0.005)
self.min_pts = 5
self.SCORE_ID = kwargs['SCORE_ID']
self.inf_bounds = None
self.min_improvement = kwargs.get('min_improvement', .01)
self.candidates = CandidateQueue()
# kill off partitioning after max_wait exceeded
self.max_wait = kwargs.get('max_wait', 2*60*60) # 2 hours
self.start_time = None
self.sampler = Sampler(self.SCORE_ID)
def set_params(self, **kwargs):
Basic.set_params(self, **kwargs)
self.p = kwargs.get('p', 0.6)
self.tau = kwargs.get('tau', [0.001, 0.09])
self.epsilon = kwargs.get('epsilon', 0.005)
self.partition_min_pts = 2
self.min_pts = 5
self.SCORE_ID = kwargs['SCORE_ID']
self.inf_bounds = None
self.min_improvement = kwargs.get('min_improvement', .01)
self.err_funcs = kwargs.get('err_funcs', None)
self.max_wait = kwargs.get('max_wait', 2 * 60 * 60)
self.start_time = None
self.sampler = Sampler(self.SCORE_ID)
self.seen = set()
self.is_done = False
self.roots = []
if self.err_funcs is None:
raise RuntimeError("errfuncs is none")
def set_params(self, **kwargs):
Basic.set_params(self, **kwargs)
self.p = kwargs.get('p', 0.6)
self.tau = kwargs.get('tau', [0.001, 0.05])
self.epsilon = kwargs.get('epsilon', 0.005)
self.min_pts = 5
self.samp_rate = 1.
self.SCORE_ID = kwargs['SCORE_ID']
self.inf_bounds = [inf, -inf]
self.sampler = Sampler(self.SCORE_ID)
