| /dports/math/py-ssm/ssm-0.0.1/ssm/ |
| H A D | lds.py | 23 from . import emissions as emssn
135 if isinstance(emissions, str):
136 emissions = emissions.lower()
142 emissions = emission_classes[emissions](N, K, D, M=M,
152 self.emissions = emissions
159 self.emissions.params
200 self.emissions.permute(perm)
661 self.emissions.params = convex_combination(curr_prms, self.emissions.params, alpha)
948 emissions = emissions.lower()
954 emissions = emission_classes[emissions](N, 1, D, M=M,
[all …]
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| H A D | variational.py | 4 from ssm.emissions import _LinearEmissions
121 q_mu = self.model.emissions.invert(data, input=input, mask=mask, tag=tag)
193 ms = self.model.emissions.invert(data, input=input, mask=mask, tag=tag)
259 * self.model.emissions.invert(data, input=input, mask=mask, tag=tag)
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| /dports/biology/py-biopython/biopython-1.79/Bio/HMM/ |
| H A D | Trainer.py | 32 def __init__(self, emissions, state_path): argument
43 if len(state_path) > 0 and len(emissions) != len(state_path):
45 self.emissions = emissions
277 emissions = self._markov_model.emission_prob
284 for i in range(len(training_seq.emissions) - 1):
295 emm_value = emissions[(l, training_seq.emissions[i + 1])]
336 for i in range(len(training_seq.emissions)):
339 if training_seq.emissions[i] == b:
398 for index in range(len(training_seq.emissions)):
400 cur_emission = training_seq.emissions[index]
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| H A D | Utilities.py | 16 emissions, argument
45 if (cur_position + seq_length) < len(emissions):
48 extension = len(emissions) - cur_position
52 % (emission_title, emissions[cur_position : cur_position + seq_length])
65 if len(emissions) < (cur_position + seq_length):
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| H A D | DynamicProgramming.py | 81 for i in range(len(self._seq.emissions)):
97 forward_value = forward_var[(state_item, len(self._seq.emissions) - 1)]
136 (state, len(self._seq.emissions) - 1)
142 all_indexes = list(range(len(self._seq.emissions) - 1))
207 (main_state, self._seq.emissions[seq_pos])
243 seq_letter = self._seq.emissions[sequence_pos]
294 seq_letter = self._seq.emissions[sequence_pos + 1]
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| H A D | MarkovModel.py | 29 emissions = defaultdict(list)
31 emissions[state].append(symbol)
33 return emissions
283 emissions = _calculate_emissions(self.emission_prob)
284 for state in emissions:
285 freqs = _gen_random_array(len(emissions[state]))
286 for symbol in emissions[state]:
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| /dports/devel/p5-Glib/Glib-1.3293/t/ |
| H A D | signal_emission_hooks.t | 80 my %emissions = ();
86 is ($emissions{wave}, 2);
107 is ($emissions{'wave'}, 2, 'emissions for wave');
108 is ($emissions{'nod'}, 1, 'emissions for nod');
109 is ($emissions{'wink'}, 3, 'emissions for wink');
110 is ($emissions{'gesture'}, undef, 'emissions for gesture');
151 $emissions{$ihint->{signal_name}}++;
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| /dports/net/concourse-fly/concourse-6.7.1/atc/metric/ |
| H A D | emit.go | 38 emissions chan eventEmission member
139 m.emissions = make(chan eventEmission, int(bufferSize))
168 case m.emissions <- eventEmission{logger: logger, event: event}:
175 for emission := range m.emissions {
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| /dports/misc/concourse/concourse-6.7.2/atc/metric/ |
| H A D | emit.go | 38 emissions chan eventEmission member
139 m.emissions = make(chan eventEmission, int(bufferSize))
168 case m.emissions <- eventEmission{logger: logger, event: event}:
175 for emission := range m.emissions {
|
| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/grib2/tables/26/ |
| H A D | 4.1.4.table | 8 6 6 Solar electromagnetic emissions
9 7 7 Terrestrial electromagnetic emissions
|
| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/grib2/tables/27/ |
| H A D | 4.1.4.table | 8 6 6 Solar electromagnetic emissions
9 7 7 Terrestrial electromagnetic emissions
|
| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/grib2/tables/25/ |
| H A D | 4.1.4.table | 8 6 6 Solar electromagnetic emissions
9 7 7 Terrestrial electromagnetic emissions
|
| /dports/cad/sumo/sumo-1.2.0/tools/import/visum/ |
| H A D | visum_convertRoutes.py | 272 emissions = [] variable
283 emissions.append((int(t), r[0] + "__" + str(i), r[2]))
301 emissions.append((int(t), r[0] + "__" + str(j), r[2]))
312 emissions.sort(sorter(0))
317 for emission in emissions:
328 print(" %s vehicles written" % len(emissions))
|
| /dports/cad/sumo/sumo-1.2.0/tools/import/vissim/ |
| H A D | vissim_parseBusStops.py | 144 emissions = [] variable
159 emissions.append((int(t), id, edges, stops))
163 emissions.sort(sorter(0))
168 for emission in emissions:
|
| H A D | vissim_parseRoutes.py | 200 emissions = [] variable
226 emissions.append((int(t), id, edges))
229 emissions.sort(key=sorter(0))
235 for emission in emissions:
|
| /dports/www/rss-bridge/rss-bridge-2021-04-25/bridges/ |
| H A D | RTBFBridge.php | 53 return self::URI . 'emissions/detail?id=' . $this->getInput('c');
56 return parent::getURI() . 'emissions/';
|
| /dports/biology/emboss/EMBOSS-6.6.0/test/data/hmm/ |
| H A D | nucleic.pri | 16 # Match emissions
23 # Insert emissions
|
| /dports/biology/emboss/EMBOSS-6.6.0/test/data/hmmnew/ |
| H A D | nucleic.pri | 16 # Match emissions
23 # Insert emissions
|
| /dports/science/grib_api/grib_api-1.28.0-Source/definitions/grib1/localConcepts/eswi/ |
| H A D | sort.table | 75 136 136 Surface emissions [kg/(m2 s)]
76 137 137 Surface emissions [g/(m2 s)]
77 138 138 Surface emissions [number/(m2 s)]
78 139 139 Surface emissions [Bq/(m2 s)]
|
| /dports/science/eccodes/eccodes-2.23.0-Source/definitions/grib1/localConcepts/eswi/ |
| H A D | sort.table | 75 136 136 Surface emissions [kg/(m2 s)]
76 137 137 Surface emissions [g/(m2 s)]
77 138 138 Surface emissions [number/(m2 s)]
78 139 139 Surface emissions [Bq/(m2 s)]
|
| /dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/hmm/ |
| H A D | hmm_impl.hpp | 30 const Distribution emissions, in HMM() argument
32 emission(states, /* default distribution */ emissions), in HMM()
35 dimensionality(emissions.Dimensionality()), in HMM()
311 arma::mat emissions(dimensionality, emissionList[state].size()); in Train() local
312 for (size_t i = 0; i < emissions.n_cols; ++i) in Train()
314 emissions.col(i) = dataSeq[emissionList[state][i].first].col( in Train()
318 emission[state].Train(emissions); in Train()
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| H A D | hmm_regression.hpp | 90 const distribution::RegressionDistribution emissions, in HMMRegression() argument
92 HMM<distribution::RegressionDistribution>(states, emissions, tolerance) in HMMRegression()
|
| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/examples/interfaces/GAMS/ |
| H A D | bb.gms | 16 subtem(t) indice sommation emissions
159 Parameter EM(t) total emissions (over 10 years);
172 E1(t) carbon emissions from the dirty economy (GtC)
173 E2(t) carbon emissions from the clean economy (GtC)
190 E1FIRST(t) initial value for carbon emissions from dirty capital
191 E2FIRST(t) initial value for carbon emissions from clean capital
|
| /dports/biology/wise/wise2.4.1/wisecfg/ |
| H A D | tm.pri | 28 # Match emissions
56 ## Insert emissions
|
| /dports/biology/infernal/infernal-1.1.3/rmark/ |
| H A D | rmark3-bg.hmm | 17 # lines <N>+4 to 2*<N>+3: <emissions> (<abc->K> tokens, emission distribution for state L-<N>+3…
25 # emissions, lines 3->2*<N>+3) should sum to 1.0.
|