Home
last modified time | relevance | path

Searched refs:priors (Results 1 – 25 of 432) sorted by relevance

12345678910>>...18

/dports/science/afni/afni-AFNI_21.3.16/src/
H A D@3dSeg42 ("$priors" == "SVM" || "$priors" == "PROB") ) then
57 if ( "$priors" == "SVM" || "$priors" == "PROB") then
58 if ( ! -d ${priors}_priors) mkdir ${priors}_priors
67 -method ${priors} \
88 set osd = Joe.$priors
89 if ($priors == 'SVM' || $priors == 'PROB') then
159 set priors = 'SVM'
176 set priors = 'SVM'
181 set priors = 'PROB'
186 set priors = 'NONE'
[all …]
/dports/math/py-pymc3/pymc-3.11.4/pymc3/glm/
H A Dfamilies.py47 priors = {} variable in Family
54 self.priors = copy(self.priors)
55 self.priors.update(val)
69 priors = {}
70 for key, val in self.priors.items():
72 priors[key] = val
76 return priors
90 priors[self.parent] = self.link(y_est)
103 priors=self.priors,
126 priors = {"n": 1} variable in Binomial
[all …]
H A Dlinear.py58 priors=None, argument
71 if priors is None:
72 priors = {}
94 dist=priors.get(
95 name, priors.get("Regressor", self.default_regressor_prior)
104 cls, formula, data, priors=None, vars=None, name="", model=None, offset=0.0, eval_env=0 argument
128 priors=priors,
165 priors=None, argument
177 priors=priors,
200 priors=None, argument
[all …]
/dports/math/R-cran-Amelia/Amelia/R/
H A Demb.r76 return(list(x=x,priors=priors)) nameattr
85 muPriors[priors[,1:2]] <- priors[,3]
86 sigPriors[priors[,1:2]] <- priors[,4]
97 return(list(x=xboot,priors=priors)) nameattr
155 x[(priors[,2]-1)*nrow(x)+priors[,1]] <- priors[,3]
226 priors[,3]<-priors[,3]*priors[,4] # get the precision-weighted
228 priors <- priors[order(priors[,1],priors[,2]),,drop = FALSE]
266 priors[,4]<-1/priors[,4]
267 priors[,3]<-priors[,3]*priors[,4]
268 priors <- priors[order(priors[,1],priors[,2]),,drop = FALSE]
[all …]
H A Dprep.r389 priors <- priors[!(priors[,1] %in% blanks),]
404 priors[,2] <- match(priors[,2], index)
537 priors[,3]<-(priors[,3]-meanx[priors[,2]])/stdvx[priors[,2]]
538 priors[,4]<- (priors[,4]/stdvx[priors[,2]])^2 #change to variances.
575 priors[,1]<-match(priors[,1],n.order)
600 new.priors[,3]<-priors[,3] + ((priors[,4] - priors[,3])/2)
601 new.priors[,4]<-(priors[,4]-priors[,3])/(2*qnorm(1-(1-priors[,5])/2))
717 priors <- arglist$priors
759 priors <- checklist$priors
763 priors <- generatepriors(AMr1 = is.na(x),empri = empri, priors = priors)
[all …]
H A Dmo.R82 x$priors <- rbind(x$priors, res$priors)
181 out$priors <- cbind(rows,col,prior.mean, prior.var)
183 if (sum(out$priors[,4] <= 0) > 0) {
184 out$priors <- out$priors[out$priors[,4] > 0,]
187 out$priors[,4] <- sqrt(out$priors[,4])
/dports/science/py-GPy/GPy-1.10.0/GPy/core/parameterization/
H A Dpriorizable.py32 self._add_to_index_operations(self.priors, repriorized, prior, warning)
43 def unset_priors(self, *priors): argument
47 return self._remove_from_index_operations(self.priors, priors)
51 if self.priors.size == 0:
55 … log_p = reduce(lambda a, b: a + b, (p.lnpdf(x[ind]).sum() for p, ind in self.priors.items()), 0)
59 priored_indexes = np.hstack([i for p, i in self.priors.items()])
69 if self.priors.size == 0:
74 [np.put(ret, ind, p.lnpdf_grad(x[ind])) for p, ind in self.priors.items()]
76 priored_indexes = np.hstack([i for p, i in self.priors.items()])
/dports/graphics/colmap/colmap-3.6/lib/VLFeat/
H A Dgmm.c368 self->priors = NULL ; in vl_gmm_new()
418 if(self->priors) vl_free(self->priors); in vl_gmm_delete()
716 TYPE const * priors, in VL_XCAT()
808 TYPE * priors,
821 TYPE * priors = (TYPE*)self->priors ; in VL_XCAT() local
858 if (priors[j_cl] > mass) { mass = priors[j_cl] ; best = j_cl ; } in VL_XCAT()
928 size_ = priors[j_cl] * (size_ - log(priors[j_cl])) ; in VL_XCAT()
1040 TYPE * priors, in VL_XCAT()
1252 self->priors, in VL_XCAT()
1493 memcpy(gmm->priors, self->priors, size*self->numClusters); in vl_gmm_new_copy()
[all …]
H A Dfisher.c368 TYPE const * priors, in VL_XCAT()
393 priors, in VL_XCAT()
436 if (priors[i_cl] < 1e-6) { continue ; } in VL_XCAT()
451 uprefix = 1/(numData*sqrt(priors[i_cl])); in VL_XCAT()
452 vprefix = 1/(numData*sqrt(2*priors[i_cl])); in VL_XCAT()
553 void const * priors, in vl_fisher_encode() argument
564 (float const *) priors, in vl_fisher_encode()
572 (double const *) priors, in vl_fisher_encode()
/dports/textproc/py-nltk/nltk-3.4.1/nltk/cluster/
H A Dem.py37 priors=None, argument
71 self._priors = priors
83 priors = self._priors
84 if not priors:
85 priors = self._priors = (
96 lastl = self._loglikelihood(vectors, priors, means, covariances)
106 h[i, j] = priors[j] * self._gaussian(
124 priors[j] = sum_hj / len(vectors)
130 l = self._loglikelihood(vectors, priors, means, covariances)
169 def _loglikelihood(self, vectors, priors, means, covariances): argument
[all …]
/dports/math/R-cran-spdep/spdep/R/
H A DspBreg.R26 priors <- con$prior functionVar
167 bprior <- dbeta(detval1, priors$a1, priors$a2)
183 stopifnot(nrow(priors$Tbeta) == k && ncol(priors$Tbeta) == k)
186 rho <- priors$rho
211 if (!is.null(priors$c) && !is.null(priors$T)) {
212 if (length(priors$c) == 1L && is.numeric(priors$c) &&
216 cc <- priors$cc
280 0.5*(((rho-priors$c)^2)/(priors$T*sige))
653 bprior <- dbeta(detval1, priors$a1, priors$a2)
669 stopifnot(nrow(priors$Tbeta) == k && ncol(priors$Tbeta) == k)
[all …]
/dports/science/py-GPy/GPy-1.10.0/GPy/testing/
H A Dprior_tests.py16 studentT = GPy.priors.StudentT(1, 2, 4)
40 lognormal = GPy.priors.LogGaussian(1, 2)
53 Gamma = GPy.priors.Gamma(1, 1)
66 gaussian = GPy.priors.Gaussian(1, 1)
80 gaussian = GPy.priors.Gaussian(1, 1)
94 uniform = GPy.priors.Uniform(0, 2)
104 uniform = GPy.priors.Uniform(-1, 10)
110 uniform = GPy.priors.Uniform(-1, 0)
124 gaussian = GPy.priors.Gaussian(1, 1)
142 gaussian = GPy.priors.Gaussian(1, 1)
[all …]
/dports/biology/fasta3/fasta-36.3.8/src/
H A Dtatstats.c76 calc_priors(double *priors, in calc_priors() argument
96 if (n1 == 0 && f_str->priors[1] > 0.0) { in calc_priors()
98 priors[i] = f_str->priors[i]; in calc_priors()
157 priors[i] = (double) counts[i] / (double) sum; in calc_priors()
159 …priors[i] = ( ((double) pseudocts * f_str->priors[i]) + (double) counts[i] ) / ( (double) sum + (d… in calc_priors()
205 double *priors, my_priors[MAXUC], tatprob, left_tatprob, right_tatprob; in calc_tatusov() local
345 priors = f_str->priors; in calc_tatusov()
403 double *priors, in generate_tatprobs() argument
486 if(priors[i] > 0.0) { in generate_tatprobs()
490 probs[(pamptr[i] - lowscore)] += priors[i]; in generate_tatprobs()
[all …]
/dports/math/py-spvcm/spvcm-0.3.0/spvcm/both_levels/sma_sma/
H A Dmodel.py13 priors=None, argument
19 priors=priors,
131 priors=None, argument
168 priors=priors,
/dports/math/py-spvcm/spvcm-0.3.0/spvcm/both_levels/se_se/
H A Dmodel.py14 priors=None, argument
21 priors=priors,
137 priors=None, argument
172 priors=priors,
/dports/math/py-spvcm/spvcm-0.3.0/spvcm/both_levels/se_sma/
H A Dmodel.py14 priors=None, argument
20 priors=priors,
137 priors=None, argument
172 priors=priors,
/dports/math/py-spvcm/spvcm-0.3.0/spvcm/both_levels/sma_se/
H A Dmodel.py14 priors=None, argument
20 priors=priors,
137 priors=None, argument
174 priors=priors,
/dports/security/vaultwarden/vaultwarden-1.23.1/cargo-crates/brotli-3.3.2/src/enc/
H A Dir_interpret.rs36 let mut priors= [0u8; 8]; in push_base() localVariable
40 priors[7 - poffset] = xself.literal_data_at_offset(input_offset); in push_base()
45 …, selected_bits) = compute_huffman_table_index_for_context_map(priors[(cur + 7)&7], priors[(cur + … in push_base()
46 … xself.update_cost(priors, (cur + 7) & 7, selected_bits, huffman_table_index, *literal); in push_base()
47 priors[cur & 7] = *literal; in push_base()
/dports/security/suricata/suricata-6.0.4/rust/vendor/brotli/src/enc/
H A Dir_interpret.rs36 let mut priors= [0u8; 8]; in push_base() localVariable
40 priors[7 - poffset] = xself.literal_data_at_offset(input_offset); in push_base()
45 …, selected_bits) = compute_huffman_table_index_for_context_map(priors[(cur + 7)&7], priors[(cur + … in push_base()
46 … xself.update_cost(priors, (cur + 7) & 7, selected_bits, huffman_table_index, *literal); in push_base()
47 priors[cur & 7] = *literal; in push_base()
/dports/www/xh/xh-0.14.1/cargo-crates/brotli-3.3.2/src/enc/
H A Dir_interpret.rs36 let mut priors= [0u8; 8]; in push_base() localVariable
40 priors[7 - poffset] = xself.literal_data_at_offset(input_offset); in push_base()
45 …, selected_bits) = compute_huffman_table_index_for_context_map(priors[(cur + 7)&7], priors[(cur + … in push_base()
46 … xself.update_cost(priors, (cur + 7) & 7, selected_bits, huffman_table_index, *literal); in push_base()
47 priors[cur & 7] = *literal; in push_base()
/dports/biology/gatk/gatk-4.2.0.0/src/main/java/org/broadinstitute/hellbender/tools/walkers/readorientation/
H A DArtifactPriorCollection.java56 final List<ArtifactPrior> priors = new ArrayList<>(map.values()); in writeArtifactPriors() local
60 writer.writeAllRecords(priors); in writeArtifactPriors()
70 final List<ArtifactPrior> priors; in readArtifactPriors() local
73 priors = reader.toList(); in readArtifactPriors()
75 if (priors.size() != F1R2FilterConstants.NUM_KMERS){ in readArtifactPriors()
91 …final Optional<ArtifactPrior> ap = priors.stream().filter(a -> a.getReferenceContext().equals(refC… in readArtifactPriors()
/dports/mail/nextcloud-mail/mail/vendor/rubix/ml/src/Classifiers/
H A DNaiveBayes.php101 * @param (int|float)[]|null $priors
104 public function __construct(float $smoothing = 1.0, ?array $priors = null) argument
113 if ($priors) {
114 $total = array_sum($priors);
121 foreach ($priors as $class => $prior) {
133 $this->fitPriors = is_null($priors);
173 'priors' => $this->fitPriors ? null : $this->priors(),
192 public function priors() : ?array function in Rubix\\ML\\Classifiers\\NaiveBayes
H A DGaussianNB.php94 * @param (int|float)[]|null $priors
97 public function __construct(?array $priors = null) argument
101 if ($priors) {
102 $total = array_sum($priors);
109 foreach ($priors as $class => $prior) {
120 $this->fitPriors = is_null($priors);
159 'priors' => $this->fitPriors ? null : $this->priors(),
178 public function priors() : ?array function in Rubix\\ML\\Classifiers\\GaussianNB
/dports/graphics/vigra/vigra-8acd73a/include/vigra/random_forest_3/
H A Drandom_forest_common.hxx223 GeneralScorer(std::vector<double> const & priors) in GeneralScorer() argument
229 priors_(priors), in GeneralScorer()
230 n_total_(std::accumulate(priors.begin(), priors.end(), 0.0)) in GeneralScorer()
299 double operator()(std::vector<double> const & priors, in operator ()() argument
308 double const p_right = (priors[i] - counts[i]) / n_right; in operator ()()
361 c = priors[i] - c; in operator ()()
392 if (priors[i] > eps) in operator ()()
394 norm_counts[i] = counts[i] / priors[i]; in operator ()()
409 if (priors[i] != 0) in operator ()()
431 RFNodeDescription(size_t depth, ARR const & priors) in RFNodeDescription()
[all …]
/dports/math/py-spvcm/spvcm-0.3.0/spvcm/lower_level/sma/
H A Dmodel.py19 priors=None,
27 priors=priors,
159 priors=None,
196 priors=priors,

12345678910>>...18