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Searched refs:polynomial_regression (Results 1 – 14 of 14) sorted by relevance

/dports/math/giacxcas/giac-1.6.0/doc/es/
H A Dkeywords72 polynomial_regression regresion_polinomial
/dports/math/giacxcas/giac-1.6.0/doc/el/
H A Dxcasmenu376 Εντολές/Πιθαν-στατ/2-Δ/polynomial_regression
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/
H A Dkernel_approximation.rst30 :ref:`polynomial_regression` for an exact polynomial transformation.
/dports/math/giacxcas/giac-1.6.0/doc/pt/
H A Daide_cas1157 # polynomial_regression
H A Dxcasmenu284 Cmds/Proba_stats/2-d/polynomial_regression
/dports/math/giacxcas/giac-1.6.0/doc/zh/
H A Daide_cas1157 # polynomial_regression
H A Dxcasmenu284 命令/概率_统计/双变量/polynomial_regression
/dports/math/giacxcas/giac-1.6.0/doc/local/
H A Dxcasmenu284 Cmds/Proba_stats/2-d/polynomial_regression
/dports/math/giacxcas/giac-1.6.0/doc/en/
H A Dxcasmenu303 Cmds/Proba stats/2-d/polynomial_regression
/dports/math/giacxcas/giac-1.6.0/doc/de/
H A Dxcasmenu293 Cmds/Proba stats/2-d/polynomial_regression
H A Daide_cas1341 # polynomial_regression
/dports/math/giacxcas/giac-1.6.0/src/
H A Dmisc.cc4016 …static gen polynomial_regression(const gen & g,int d,const gen & u1, const gen & u2,double & xmin,… in polynomial_regression() function
4063 static gen polynomial_regression(const gen & g,double & xmin,double & xmax,GIAC_CONTEXT){ in polynomial_regression() function
4067 return polynomial_regression(makevecteur(mtran(makevecteur(v[0],v[1])),v[2]),xmin,xmax,contextptr); in polynomial_regression()
4074 … return polynomial_regression(g._VECTptr->front(),absint(last.val),zero,zero,xmin,xmax,contextptr); in polynomial_regression()
4079 return polynomial_regression(g,xmin,xmax,contextptr); in _polynomial_regression()
4090 gen res=polynomial_regression(G,xmin,xmax,contextptr); in _polynomial_regression_plot()
/dports/math/giacxcas/giac-1.6.0/doc/fr/
H A Dxcasmenu387 Cmds/Proba stats/2-d/polynomial_regression
/dports/math/giacxcas/giac-1.6.0/doc/
H A Daide_cas7231 -1 polynomial_regression
7255 -1 polynomial_regression
7293 # polynomial_regression
7301 polynomial_regression([[1.0,1.0],[2.0,4.0],[3.0,9.0],[4.0,16.0]],3)
7302 polynomial_regression([[0.0,1.0],[2.0,4.0],[3.0,9.0],[4.0,16.0]],3)
7303 polynomial_regression([0.0,2.0,3.0,4.0],[1.0,4.0,9.0,16.0],3)
7323 -1 polynomial_regression