Here are the examples of the python api numpy.np_log taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
4 Examples
3
Example 1
Project: statsmodels Source File: multivariate.py
def funbgh(s, a, b, R, df):
sqrt_df = np.sqrt(df+0.5)
ret = chi_logpdf(s,df)
ret += np_log(mvstdnormcdf(s*a/sqrt_df, s*b/sqrt_df, R,
maxpts=1000000, abseps=1e-6))
ret = np_exp(ret)
return ret
3
Example 2
Project: statsmodels Source File: multivariate.py
def funbgh2(s, a, b, R, df):
n = len(a)
sqrt_df = np.sqrt(df)
#np.power(s, df-1) * np_exp(-s*s*0.5)
return np_exp((df-1)*np_log(s)-s*s*0.5) \
* mvstdnormcdf(s*a/sqrt_df, s*b/sqrt_df, R[np.tril_indices(n, -1)],
maxpts=1000000, abseps=1e-4)
0
Example 3
Project: statsmodels Source File: multivariate.py
def chi_pdf(x, df):
tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
- sps_gammaln(df*0.5)
return np_exp(tmp)
0
Example 4
Project: statsmodels Source File: multivariate.py
def chi_logpdf(x, df):
tmp = (df-1.)*np_log(x) + (-x*x*0.5) - (df*0.5-1)*np_log(2.0) \
- sps_gammaln(df*0.5)
return tmp