(lab, scores, PA=False)

(nominality_score, anomaly_score, theta_N, d, gate_func = 'soft')

(value: str)

(_dset, _model, trn_batch_size, device)

(self, Win, Wout, D, heads, dep=8, ff_mult=4)

(Delta_xp, Delta_x0)

(seed)

(list_arr, downsample, reduce_method=np.median, all_should_be_anomaly=True)

(lab_tst, tst_errs, conf)

(trn_batch_size, device)

(m_conf, d_conf, data, seed=0)

()

(filename)

(self, params)

(data, models, optims, d_conf, m_conf, conf, eval_every = 1, seed=0)

(self, dataset_pth, entities)

(self, dataset_pth)

(self, dataset_pth)

(self, dataset_pth, entities)

(self, dataset_pth)

(self, dataset_pth, entities)

(self, dataset_pth)

(self, dataset_pth, entities)

(self, W, D, heads, ff_mult=4, dep=4, lat=10, c1={'out':40,'kern':6,'strd':2}, return_lat=False)

(self, dim, max_seq_len)

(self, x, **args)

(self, x, **args)

(self, x)

(params)

(value: str)

(value: str)

(dat, config, dims, entities, entity_id, quiet=False)

(self, params)

(self, params)

(self, params)

(self, params)

(self, params)

(self, params)

(self, params)

(arr, window, stride)

(x_trn_all, x_tst_all, lab_tst_all, entities, dl, stride, tst_stride)