def __init__(self, hostname='zhoudb', dbname='graphdb', schema=None, fname=None, output_file=None, \ filter_type=1, is_correct_type=2, rpart_cp_ls=[0.01], loss_matrix_ls=[[0,1,1,0]], prior_prob_ls=[0.5], no_of_buckets=5,\ need_cal_hg_p_value=0, debug=0, commit=0, report=0): """ 11-09-05 add rpart_cp """ rpart_prediction.__init__(self, hostname, dbname, schema, fname, fname, \ filter_type, is_correct_type, 0.01, [0,1,1,0], None, no_of_buckets, \ need_cal_hg_p_value, debug, commit, report) self.fname = fname self.output_file = output_file self.rpart_cp_ls = rpart_cp_ls self.loss_matrix_ls = loss_matrix_ls self.prior_prob_ls = prior_prob_ls
def __init__(self, hostname='zhoudb', dbname='graphdb', schema=None, fname=None, output_file=None, \ filter_type=1, is_correct_type=2, rpart_cp_ls=[0.01], loss_matrix_ls=[[0,1,1,0]], prior_prob_ls=[0.5], \ training_perc=0.8, no_of_validations=10, type=1, mty_ls=[0], bit_string='11111', need_cal_hg_p_value=0, debug=0, commit=0, report=0): """ 11-19-05 add no_of_validations 03-17-06 add type, mty_ls, bit_string """ rpart_prediction.__init__(self, hostname, dbname, schema, fname, fname, \ filter_type, is_correct_type, 0.01, [0,1,1,0], None, training_perc, \ type, 2, bit_string, need_cal_hg_p_value, debug, commit, report) self.fname = fname self.output_file = output_file self.rpart_cp_ls = rpart_cp_ls self.loss_matrix_ls = loss_matrix_ls self.prior_prob_ls = prior_prob_ls self.type = int(type) self.mty_ls = mty_ls self.bit_string = bit_string self.no_of_validations = int(no_of_validations)
def __init__(self, hostname='zhoudb', dbname='graphdb', schema=None, fname=None, output_file=None, \
filter_type=1, is_correct_type=2, rpart_cp_ls=[0.01], loss_matrix_ls=[[0,1,1,0]], prior_prob_ls=[0.5], \
training_perc=0.8, no_of_validations=10, type=1, mty_ls=[0], bit_string='11111', need_cal_hg_p_value=0, debug=0, commit=0, report=0):
"""
11-19-05 add no_of_validations
03-17-06
add type, mty_ls, bit_string
"""
rpart_prediction.__init__(self, hostname, dbname, schema, fname, fname, \
filter_type, is_correct_type, 0.01, [0,1,1,0], None, training_perc, \
type, 2, bit_string, need_cal_hg_p_value, debug, commit, report)
self.fname = fname
self.output_file = output_file
self.rpart_cp_ls = rpart_cp_ls
self.loss_matrix_ls = loss_matrix_ls
self.prior_prob_ls = prior_prob_ls
self.type = int(type)
self.mty_ls = mty_ls
self.bit_string = bit_string
self.no_of_validations = int(no_of_validations)
