| /dports/biology/py-biopython/biopython-1.79/Bio/HMM/ |
| H A D | MarkovModel.py | 101 self.transition_prob = {}
152 transition_prob = copy.deepcopy(self.transition_prob)
161 transition_prob,
234 for key in self.transition_prob:
235 self.transition_prob[key] = new_trans_prob
258 if not self.transition_prob:
271 return self.transition_prob
318 for set_key in self.transition_prob:
325 self.transition_prob = all_probs
463 transition_prob, argument
[all …]
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| H A D | DynamicProgramming.py | 99 transition_value = self._mm.transition_prob[(state_item, first_state)]
137 ] = self._mm.transition_prob[(state, state_letters[0])]
217 trans_value = self._mm.transition_prob[(second_state, main_state)]
261 cur_trans_prob = self._mm.transition_prob[(second_state, cur_state)]
302 cur_transition_prob = self._mm.transition_prob[(cur_state, second_state)]
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| H A D | Trainer.py | 225 self._markov_model.transition_prob = ml_transitions
276 transitions = self._markov_model.transition_prob
384 self._markov_model.transition_prob = ml_transitions
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| /dports/science/nest/nest-simulator-3.1/models/ |
| H A D | gamma_sup_generator.cpp | 61 nest::gamma_sup_generator::Internal_states_::update( double transition_prob, RngPtr rng ) in update() argument
80 if ( ( occ_[ i ] >= 100 && transition_prob <= 0.01 ) in update()
81 || ( occ_[ i ] >= 500 && transition_prob * occ_[ i ] <= 0.1 ) ) in update()
83 poisson_distribution::param_type param( transition_prob * occ_[ i ] ); in update()
92 binomial_distribution::param_type param( occ_[ i ], transition_prob ); in update()
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| H A D | gamma_sup_generator.h | 169 …unsigned long update( double transition_prob, RngPtr rng ); //!< update age dist and generate spik…
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| /dports/biology/py-biopython/biopython-1.79/Tests/ |
| H A D | test_HMMCasino.py | 96 print(trained_mm.transition_prob)
123 print(trained_mm.transition_prob)
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| H A D | test_HMMGeneral.py | 83 self.assertEqual(self.mm_builder.transition_prob, expected_transition_prob)
96 self.assertEqual(self.mm_builder.transition_prob, expected_prob)
129 self.mm_builder.transition_prob, {("1", "2"): 0.5, ("2", "1"): 0.5}
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| /dports/biology/stacks/stacks-2.4/src/ |
| H A D | Hwp.cc | 137 double pr_lim_d = this->transition_prob(pr_d); in walk_chain()
138 double pr_lim_r = pr_lim_d + this->transition_prob(pr_r); in walk_chain()
166 double pr_lim_d = this->transition_prob(pr_d); in walk_chain()
188 double pr_lim_r = this->transition_prob(pr_r); in walk_chain()
270 GuoThompson_Hwp::transition_prob(double pr) in transition_prob() function in GuoThompson_Hwp
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| H A D | Hwp.h | 310 double transition_prob(double pr);
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| /dports/science/qwalk/mainline-1.0.1-300-g1b7e381/src/method/ |
| H A D | Split_sample.cpp | 91 doublevar Split_sampler::transition_prob(int point1, int point2, in transition_prob() function in Split_sampler
112 doublevar transition_prob(Point & point1, Point & point2, in transition_prob() function
261 info.green_forward=exp(::transition_prob(p1, p2, timestep, dtype)); in greenFunction()
262 info.green_backward=::transition_prob(p2,p1, timestep, dtype); in greenFunction()
331 doublevar num=transition_prob(y,y-dir*dist,timesteps(dist), dtype); in get_acceptance()
332 doublevar den=transition_prob(x,x+dir*dist,timesteps(dist), dtype); in get_acceptance()
441 info.green_forward=exp(transition_prob(0,depth,timesteps(depth), dtype)); in split_driver()
443 info.green_backward=exp(transition_prob(depth,0,timesteps(depth),dtype)); in split_driver()
881 info.green_backward=exp(transition_prob(p2,p1, timestep, dtype)); in greenFunction()
989 info.green_backward=transition_prob(trace(last_point),trace(0),timestep,dtype); in rk_step()
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| H A D | Split_sample.h | 192 doublevar transition_prob(int point1, int point2,
210 doublevar transition_prob(Point & point1, Point & point2,
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| /dports/biology/mapm3/mapm3-3.0_1/quant/ |
| H A D | qdata.c | 438 (transition_prob(raw.data_type,left,qtl,left_rf) *
439 transition_prob(raw.data_type,qtl,right,right_rf)) /
440 transition_prob(raw.data_type,left,right,interval_rf);
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| H A D | qlow.h | 169 real transition_prob(); /* args: int data_type, left, right; real theta;*/
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| H A D | qctm.c | 596 (transition_prob(raw.data_type,left,qtl,left_rf) *
597 transition_prob(raw.data_type,qtl,right,right_rf)) /
598 transition_prob(raw.data_type,left,right,interval_rf[j]);
787 transition_prob(raw.data_type,left_geno,qtl_geno,left_theta) *
788 transition_prob(raw.data_type,qtl_geno,right_geno,right_theta);
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| H A D | qraw.c | 907 transition_prob(raw.data_type,geno1,geno2,rec_frac);
915 real transition_prob(data_type,geno_was,geno_is,theta) in transition_prob() function
1098 transition_prob(raw.data_type,left,right,theta) *
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| H A D | qcmds.c | 1646 raw.f3=TRUE; c=transition_prob(INTERCROSS,left,right,theta); in tester()
1651 ((a=transition_prob(INTERCROSS,left,qtl,left_rf)) * in tester()
1652 (b=transition_prob(INTERCROSS,qtl,right,right_rf))) /c; in tester()
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| /dports/comms/gnuradio/gnuradio-3.8.4.0/gr-fec/python/fec/polar/ |
| H A D | testbed.py | 102 transition_prob = 0.11
103 num_transitions = int(k * transition_prob)
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