import?os
import?traceback?as?tb
import?copy
import?random
import?numpy?as?np
import?pandas?as?pd
import?torch
import?torch.nn?as?nn
import?torch.optim?as?optim

MIN_PROBABILITY?=?0.001
MAX_LOSS?=?999999999
PROBABILITY_THRESHOLD?=?0.995

class?Logistic（nn.Module）:
????def?__init__（self?batch_size?sample_size
?????????????????learning_rate=0.01?momentum=0.1?weight_decay=1
?????????????????train_sample_df=None?test_sample_df=None）:
????????super（Logistic?self）.__init__（）
????????self.batch_size?=?batch_size
????????self.sample_size?=?sample_size
????????init_coef?=?torch.zeros（sample_size?+?1?dtype=torch.double）??#?coefficients?and?intercept
????????self.coef?=?nn.Parameter（init_coef?requires_grad=True）
????????self.learning_rate?=?learning_rate
????????self.momentum?=?momentum
????????self.optimizer?=?optim.SGD（self.parameters（）?lr=learning_rate?momentum=momentum?weight_decay=weight_decay）

????????self.train_sample_df?=?train_sample_df
????????s