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Searched refs:np_log (Results 1 – 9 of 9) sorted by relevance

/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/distributions/
H A Dmultivariate.py24 from numpy import log as np_log unknown
36 tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
42 tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
49 ret += np_log(mvstdnormcdf(s*a/sqrt_df, s*b/sqrt_df, R,
58 return np_exp((df-1)*np_log(s)-s*s*0.5) \
H A Dmv_normal.py1003 np_log = np.log variable
1083 llf = - nvars * np_log(df * np_pi)
1085 llf -= (df + nvars) * np_log(1 + np.sum(x_whitened**2,-1) / df)
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/examples/
H A Dex_generic_mle_t.py17 np_log = np.log variable
73 lPx -= 0.5*np_log(df*np_pi) + (df+1)/2.*np_log(1+(x**2)/df)
74 lPx -= np_log(scale) # correction for scale
H A Dex_generic_mle_tdist.py22 np_log = np.log variable
85 lPx -= 0.5*np_log(df*np_pi) + (df+1)/2.*np_log(1+(x**2)/df)
86 lPx -= np_log(scale) # correction for scale
186 logpdf = np_log(b) - (b+1.)*np_log(x) #use np_log(1 + x) for Pareto II
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/miscmodels/
H A Dtmodel.py45 np_log = np.log variable
158 lPx -= 0.5*np_log(df*np_pi) + (df+1)/2.*np_log(1+(x**2)/df)
159 lPx -= np_log(scale) # correction for scale
207 llike = - stats.t._logpdf(errorsest/scale, df) + np_log(scale)
/dports/emulators/libretro-vice/vice-libretro-5725415/vice/src/arch/gtk3/
H A Duinetplay.c47 static log_t np_log = LOG_ERR; variable
181 …log_message(np_log, "Status: %s, Server: %s, Port: %d; server bind address: %s", text, server_name… in netplay_update_status()
402 np_log = log_open("Netplay"); in ui_netplay_dialog()
/dports/mail/libspf/libspf-1.0.0-p5/patches/Sendmail/8.12.x/
H A Dsendmail-8.12.11-libspf.0.25.fixed.diff57 int np_log = 0;
/dports/mail/libmilter/sendmail-8.16.1/sendmail/
H A Dsrvrsmtp.c893 int np_log = 0; local
1614 if (++np_log < 3)
/dports/biology/groopm/GroopM-0.3.4/groopm/
H A Dcluster.py71 log as np_log, unknown