| /dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/numpy/random/ |
| H A D | logistic.hpp | 22 types::ndarray<double, pS> logistic(double loc, double scale, in logistic() function
31 auto logistic(double loc, double scale, long size) in logistic() function
37 double logistic(double loc, double scale, types::none_type d) in logistic() function
|
| /dports/audio/cmt/cmt/src/ |
| H A D | descriptor.cpp | 61 namespace logistic { void initialise(); } namespace
|
| H A D | logistic.cpp | 40 namespace logistic { namespace
|
| /dports/audio/lmms/lmms-1.2.2/plugins/LadspaEffect/cmt/src/ |
| H A D | descriptor.cpp | 61 namespace logistic { void initialise(); } namespace
|
| H A D | logistic.cpp | 40 namespace logistic { namespace
|
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/exercises/ |
| H A D | plot_digits_classification_exercise.py | 28 logistic = linear_model.LogisticRegression(max_iter=1000) variable
|
| /dports/biology/ugene/ugene-40.1/src/plugins_3rdparty/psipred/src/ |
| H A D | ssdefs.h | 10 #define logistic(x) ((REAL)1.0 / ((REAL)1.0 + (REAL)exp(-(x)))) macro
|
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/compose/ |
| H A D | plot_digits_pipe.py | 36 logistic = LogisticRegression(max_iter=10000, tol=0.1) variable
|
| /dports/science/py-GPy/GPy-1.10.0/GPy/util/ |
| H A D | functions.py | 13 def logistic(x): # pragma: no cover function
|
| /dports/science/jstrack/jstrack/extlib/tcllib1.19/math/ |
| H A D | stat_kernel.tcl | 215 proc ::math::statistics::logistic {x} { procedure
|
| /dports/devel/tcllib/tcllib-1.20/modules/math/ |
| H A D | stat_kernel.tcl | 215 proc ::math::statistics::logistic {x} { procedure
|
| /dports/devel/tcllibc/tcllib-1.20/modules/math/ |
| H A D | stat_kernel.tcl | 215 proc ::math::statistics::logistic {x} { procedure
|
| /dports/science/py-nilearn/nilearn-0.8.1/nilearn/_utils/ |
| H A D | docs.py | 460 logistic = "Logistic regression" variable
|
| /dports/math/R-cran-conquer/conquer/R/ |
| H A D | smqr.R | 69 conquer = function(X, Y, tau = 0.5, kernel = c("Gaussian", "logistic", "uniform", "parabolic", "tri…
175 …nction(X, Y, tauSeq = seq(0.1, 0.9, by = 0.05), kernel = c("Gaussian", "logistic", "uniform", "par…
253 conquer.reg = function(X, Y, lambda = 0.2, tau = 0.5, kernel = c("Gaussian", "logistic", "uniform",…
351 conquer.cv.reg = function(X, Y, lambdaSeq = NULL, tau = 0.5, kernel = c("Gaussian", "logistic", "un…
|
| /dports/math/vowpal_wabbit/vowpal_wabbit-7.10/vowpalwabbit/ |
| H A D | scorer.cc | 23 float logistic(float in) { return 1.f / (1.f + exp(- in)); } in logistic() function
|
| /dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/atoms/elementwise/ |
| H A D | logistic.py | 24 class logistic(Elementwise): class
|
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/preprocessing/ |
| H A D | plot_all_scaling.py | 79 }
80
81 # Take only 2 features to make visualization easier
|
| /dports/math/py-chaospy/chaospy-4.3.3/chaospy/distributions/collection/ |
| H A D | logistic.py | 7 class logistic(SimpleDistribution): class
|
| /dports/math/openturns/openturns-1.18/python/test/ |
| H A D | t_NormalityTest_std.py | 31 logistic = Logistic(1., 1.) variable
|
| /dports/biology/py-biopython/biopython-1.79/Bio/phenotype/ |
| H A D | pm_fitting.py | 34 def logistic(x, A, u, d, v, y0): function
|
| /dports/math/openturns/openturns-1.18/lib/test/ |
| H A D | t_NormalityTest_std.cxx | 53 Logistic logistic(1., 1.); in main() local
|
| H A D | t_FittingTest_std.cxx | 53 Logistic logistic(1.0, 1.0); in main() local
|
| /dports/math/py-seaborn/seaborn-0.11.0/seaborn/ |
| H A D | regression.py | 80 units=None, seed=None, order=1, logistic=False, lowess=False, argument
569 units=None, seed=None, order=1, logistic=False, lowess=False, argument
816 seed=None, order=1, logistic=False, lowess=False, robust=False, argument
|
| /dports/biology/hhsuite/hh-suite-3.3.0/scripts/hhpred/lib/ |
| H A D | utilities.pm | 32 sub logistic { subroutine
|
| /dports/math/R-cran-raster/raster/R/ |
| H A D | blend.R | 30 .blend <- function(x, y, logistic=FALSE, filename='', ...) { argument
|