/dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/brip/ |
H A D | brip_blobwise_mutual_info.hxx | 72 unsigned n_bins = 32; in brip_blobwise_mutual_info() local 76 mag1 = brip_histogram(x, x_hist, min, max, n_bins); in brip_blobwise_mutual_info() 77 mag2 = brip_histogram(y, y_hist, min, max, n_bins); in brip_blobwise_mutual_info() 92 joint_hist[i][j] += 1.0/n_bins; in brip_blobwise_mutual_info() 93 mag3 += 1.0/n_bins; in brip_blobwise_mutual_info() 175 unsigned n_bins = std::min((int) x_samps.size()/2, 32); in brip_blobwise_kl_div() local 180 double magX = brip_histogram(x, x_hist, min, max, n_bins); in brip_blobwise_kl_div() 185 x_hist[i] += .01/n_bins; in brip_blobwise_kl_div() 186 magX += .01/n_bins; in brip_blobwise_kl_div() 187 y_hist[i] += .01/n_bins; in brip_blobwise_kl_div() [all …]
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H A D | brip_mutual_info.hxx | 24 double min, double max, unsigned n_bins) in brip_mutual_info() argument 34 mag1 = brip_histogram(image1, histogram1, min, max, n_bins); in brip_mutual_info() 35 mag2 = brip_histogram(image2, histogram2, min, max, n_bins); in brip_mutual_info() 36 mag3 = brip_joint_histogram(image1, image2, joint_histogram, min, max, n_bins); in brip_mutual_info() 52 double min, double max, unsigned n_bins)
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H A D | brip_histogram.h | 24 double min, double max, unsigned n_bins); 33 double min, double max, unsigned n_bins); 44 double min, double max, unsigned n_bins);
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/dports/math/py-matplotlib/matplotlib-3.4.3/examples/statistics/ |
H A D | histogram_multihist.py | 24 n_bins = 10 variable 30 ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors) 34 ax1.hist(x, n_bins, density=True, histtype='bar', stacked=True) 37 ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False) 42 ax3.hist(x_multi, n_bins, histtype='bar')
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H A D | hist.py | 27 n_bins = 20 variable 36 axs[0].hist(x, bins=n_bins) 37 axs[1].hist(y, bins=n_bins) 52 N, bins, patches = axs[0].hist(x, bins=n_bins) 66 axs[1].hist(x, bins=n_bins, density=True)
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/dports/math/py-matplotlib2/matplotlib-2.2.4/examples/statistics/ |
H A D | histogram_multihist.py | 24 n_bins = 10 variable 31 ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors) 35 ax1.hist(x, n_bins, density=True, histtype='bar', stacked=True) 38 ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False) 43 ax3.hist(x_multi, n_bins, histtype='bar')
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H A D | hist.py | 27 n_bins = 20 variable 36 axs[0].hist(x, bins=n_bins) 37 axs[1].hist(y, bins=n_bins) 52 N, bins, patches = axs[0].hist(x, bins=n_bins) 66 axs[1].hist(x, bins=n_bins, density=True)
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/dports/math/py-matplotlib2/matplotlib-2.2.4/lib/mpl_examples/statistics/ |
H A D | histogram_multihist.py | 24 n_bins = 10 variable 31 ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors) 35 ax1.hist(x, n_bins, density=True, histtype='bar', stacked=True) 38 ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False) 43 ax3.hist(x_multi, n_bins, histtype='bar')
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H A D | hist.py | 27 n_bins = 20 variable 36 axs[0].hist(x, bins=n_bins) 37 axs[1].hist(y, bins=n_bins) 52 N, bins, patches = axs[0].hist(x, bins=n_bins) 66 axs[1].hist(x, bins=n_bins, density=True)
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/dports/science/py-chainer/chainer-7.8.0/chainer/functions/pooling/ |
H A D | spatial_pyramid_pooling_2d.py | 57 n_bins = int(2 ** pyramid_level) 59 ksize_h = int(math.ceil(bottom_h / (float(n_bins)))) 60 remainder_h = ksize_h * n_bins - bottom_h 63 ksize_w = int(math.ceil(bottom_w / (float(n_bins)))) 64 remainder_w = ksize_w * n_bins - bottom_w
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/dports/misc/vxl/vxl-3.3.2/core/vil/algo/ |
H A D | vil_histogram_equalise.cxx | 60 unsigned n_bins = 4000; in vil_histogram_equalise() local 61 std::vector<double> histo(n_bins); in vil_histogram_equalise() 68 vil_histogram(image, histo, min_v, max_v, n_bins); in vil_histogram_equalise() 72 for (unsigned i = 0; i < n_bins; ++i) in vil_histogram_equalise() 85 std::vector<unsigned> lookup_b2o(n_bins); in vil_histogram_equalise() 87 for (unsigned i = 0; i < n_bins; ++i) in vil_histogram_equalise() 92 double s_i2b = double(n_bins - 1) / (double(max_v - min_v)); in vil_histogram_equalise()
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H A D | vil_histogram.h | 22 double min, double max, unsigned n_bins) in vil_histogram() argument 24 histo.resize(n_bins); in vil_histogram() 27 double s = double(n_bins-1)/(double(max)-x0); in vil_histogram() 41 if (index>=0 && (unsigned)index<n_bins) histo[index]+=1; in vil_histogram() 57 double min, double max, unsigned n_bins)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/tests/ |
H A D | test_murmurhash.py | 65 n_bins, n_samples = 10, 100000 66 bins = np.zeros(n_bins, dtype=np.float64) 69 bins[murmurhash3_32(i, positive=True) % n_bins] += 1 72 expected = np.full(n_bins, 1.0 / n_bins) 74 assert_array_almost_equal(means / expected, np.ones(n_bins), 2)
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/dports/misc/orange3/orange3-3.29.1/Orange/widgets/data/utils/ |
H A D | histogram.py | 141 self.n_bins = len(self.attribute.values) 150 self.n_bins = 3 152 self.n_bins = min(max(2, num_unique), n_bins) 199 self._plot_width -= (self.n_bins - 2) * bar_spacing 273 bins = np.arange(self.n_bins)[:, np.newaxis] 275 distributions = np.zeros((self.n_bins, y.shape[1])) 276 for bin_idx in range(self.n_bins): 324 bar_size = self._plot_width / self.n_bins 352 bins = np.arange(self.n_bins)[:, np.newaxis] 358 for bin_idx in range(self.n_bins): [all …]
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/linear_model/ |
H A D | plot_poisson_regression_non_normal_loss.py | 113 ("binned_numeric", KBinsDiscretizer(n_bins=10), ["VehAge", "DrivAge"]), 327 n_bins = 20 variable 329 df["Frequency"].hist(bins=np.linspace(-1, 30, n_bins), ax=axes[row_idx, 0]) 341 bins=np.linspace(-1, 4, n_bins), ax=axes[row_idx, idx + 1] 389 def _mean_frequency_by_risk_group(y_true, y_pred, sample_weight=None, n_bins=100): argument 416 bin_centers = np.arange(0, 1, 1 / n_bins) + 0.5 / n_bins 417 y_pred_bin = np.zeros(n_bins) 418 y_true_bin = np.zeros(n_bins) 420 for n, sl in enumerate(gen_even_slices(len(y_true), n_bins)): 436 y_true, y_pred, sample_weight=exposure, n_bins=10
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/filters/rank/ |
H A D | generic.py | 136 n_bins = 256 140 n_bins = int(max(3, image.max())) + 1 142 if n_bins > 2 ** 10: 221 n_bins = 256 225 n_bins = int(max(3, image.max())) + 1 227 if n_bins > 2**10: 268 out=out, n_bins=n_bins) 281 mask=mask, out=out, n_bins=n_bins) 331 out=out, n_bins=n_bins) 1371 if n_bins is None: [all …]
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/dports/math/libmesh/libmesh-1.6.2/src/utils/ |
H A D | statistics.C | 180 unsigned int n_bins) in histogram() argument 183 libmesh_assert (n_bins>0); in histogram() 193 Real bin_size = (max - min) / static_cast<Real>(n_bins); in histogram() 197 std::vector<Real> bin_bounds(n_bins+1); in histogram() 207 bin_members.resize(n_bins); in histogram() 273 unsigned int n_bins) in plot_histogram() argument 277 this->histogram(bin_members, n_bins); in plot_histogram() 282 T bin_size = (max - min) / static_cast<T>(n_bins); in plot_histogram() 315 unsigned int n_bins) const in histogram() argument 319 return sv.histogram(bin_members, n_bins); in histogram()
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/dports/astro/py-astropy/astropy-5.0/astropy/timeseries/ |
H A D | binned.py | 75 time_bin_size=None, n_bins=None, **kwargs): argument 83 time_bin_size is None and n_bins is None): 123 if n_bins is not None and time_bin_size is not None: 139 if n_bins is not None: 140 if n_bins != len(self): 144 n_bins = len(self) 146 time_bin_size = np.repeat(time_bin_size, n_bins) 340 n_bins=len(table))
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/ |
H A D | binning.py | 154 n_bins=256, argument 161 self.n_bins = n_bins 185 if not (3 <= self.n_bins <= 256): 189 self.n_bins 194 max_bins = self.n_bins - 1 225 self.missing_values_bin_idx_ = self.n_bins - 1
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H A D | histogram.pyx | 63 n_bins : int 78 unsigned int n_bins 96 self.n_bins = n_bins 136 shape=(self.n_features, self.n_bins), 186 for bin_idx in range(self.n_bins): 225 shape (n_features, n_bins) 228 shape (n_features, n_bins) 241 shape=(self.n_features, self.n_bins), 250 self.n_bins, 283 unsigned int n_bins, argument [all …]
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/dports/math/gecode/gecode-0916a1a/test/int/ |
H A D | bin-packing.cpp | 53 int n_bins; member in Test::Int::BinPacking::LoadBinAssignment 70 n_bins(m), n_items(n), d_load(d_m), d_bin(d_n), load(l), in LoadBinAssignment() 72 for (int i=n_bins; i--; ) in LoadBinAssignment() 75 dsv[n_bins+i].init(d_bin); in LoadBinAssignment() 87 ++dsv[n_bins+i]; in next() 88 if (dsv[n_bins+i]()) in next() 90 dsv[n_bins+(i--)].init(d_bin); in next() 96 int i = n_bins-1; in next() 102 for (int k=0;k<n_bins; k++) in next() 115 assert((i>=0) && (i<n_bins+n_items)); in operator []()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/ |
H A D | gof.py | 373 n_bins = len(f_obs) 377 f_exp = np.empty(n_bins, float) 378 f_exp.fill(nobs / float(n_bins)) 384 pvalue = stats.chi2.sf(chisq, n_bins - 1 - ddof) 386 pvalue = stats.ncx2.sf(chisq, n_bins - 1 - ddof, value**2 * nobs) 394 def chisquare_power(effect_size, nobs, n_bins, alpha=0.05, ddof=0): argument 435 crit = stats.chi2.isf(alpha, n_bins - 1 - ddof) 436 power = stats.ncx2.sf(crit, n_bins - 1 - ddof, effect_size**2 * nobs)
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/doc/examples/features_detection/ |
H A D | plot_local_binary_pattern.py | 109 n_bins = int(lbp.max() + 1) 110 return ax.hist(lbp.ravel(), density=True, bins=n_bins, range=(0, n_bins), 168 n_bins = int(lbp.max() + 1) 169 hist, _ = np.histogram(lbp, density=True, bins=n_bins, range=(0, n_bins)) 171 ref_hist, _ = np.histogram(ref, density=True, bins=n_bins, 172 range=(0, n_bins))
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/dports/misc/vxl/vxl-3.3.2/contrib/mul/vil3d/algo/ |
H A D | vil3d_histogram.h | 22 double min, double max, unsigned n_bins) in vil3d_histogram() argument 24 histo.resize(n_bins); in vil3d_histogram() 27 double s = double(n_bins-1)/(double(max)-x0); in vil3d_histogram() 44 if (index>=0 && (unsigned)index<n_bins) histo[index]+=1; in vil3d_histogram()
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/dports/graphics/gimp-app/gimp-2.10.30/app/widgets/ |
H A D | gimphistogramview.c | 167 view->n_bins = 256; in gimp_histogram_view_init() 330 x1 = CLAMP (MIN (view->start, view->end), 0, view->n_bins - 1); in gimp_histogram_view_expose() 362 gint i = (x * view->n_bins) / width; in gimp_histogram_view_expose() 363 gint j = ((x + 1) * view->n_bins) / width; in gimp_histogram_view_expose() 365 if (! (x1 == 0 && x2 == (view->n_bins - 1))) in gimp_histogram_view_expose() 543 0, view->n_bins - 1); in gimp_histogram_view_button_press() 590 0, view->n_bins - 1); in gimp_histogram_view_motion_notify() 809 if (new_bins > 0 && new_bins != view->n_bins) in gimp_histogram_view_update_bins() 812 new_bins / view->n_bins), in gimp_histogram_view_update_bins() 815 new_bins / view->n_bins) - 1, in gimp_histogram_view_update_bins() [all …]
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