Python scipy.special.xlog1py() Examples
The following are 27
code examples of scipy.special.xlog1py().
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scipy.special
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Example #1
| Source File: _continuous_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logsf(self, x, c, d):
return sc.xlog1py(-d, x**c)
Example #2
| Source File: _discrete_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpmf(self, k, p):
return special.xlog1py(k - 1, -p) + log(p)
Example #3
| Source File: _discrete_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpmf(self, x, n, p):
coeff = gamln(n+x) - gamln(x+1) - gamln(n)
return coeff + n*log(p) + special.xlog1py(x, -p)
Example #4
| Source File: _discrete_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpmf(self, x, n, p):
k = floor(x)
combiln = (gamln(n+1) - (gamln(k+1) + gamln(n-k+1)))
return combiln + special.xlogy(k, p) + special.xlog1py(n-k, -p)
Example #5
| Source File: _continuous_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpdf(self, x, c):
return _lazywhere((x == x) & (c != 0), (x, c),
lambda x, c: -sc.xlog1py(c + 1., c*x) / c,
-x)
Example #6
| Source File: _continuous_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logsf(self, x, c, d):
return sc.xlog1py(-d, x**c)
Example #7
| Source File: _continuous_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpdf(self, x, c, d):
return np.log(c) + np.log(d) + sc.xlogy(c - 1, x) + sc.xlog1py(-d-1, x**c)
Example #8
| Source File: _continuous_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpdf(self, x, a, b):
return sc.xlogy(a - 1.0, x) - sc.xlog1py(a + b, x) - sc.betaln(a, b)
Example #9
| Source File: _continuous_distns.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _logpdf(self, x, a, b):
lPx = sc.xlog1py(b - 1.0, -x) + sc.xlogy(a - 1.0, x)
lPx -= sc.betaln(a, b)
return lPx
Example #10
| Source File: test_basic.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def test_xlog1py():
def xfunc(x, y):
with np.errstate(invalid='ignore'):
if x == 0 and not np.isnan(y):
return x
else:
return x * np.log1p(y)
z1 = np.asarray([(0,0), (0, np.nan), (0, np.inf), (1.0, 2.0),
(1, 1e-30)], dtype=float)
w1 = np.vectorize(xfunc)(z1[:,0], z1[:,1])
assert_func_equal(special.xlog1py, w1, z1, rtol=1e-13, atol=1e-13)
Example #11
| Source File: _discrete_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpmf(self, k, p):
return special.xlog1py(k - 1, -p) + log(p)
Example #12
| Source File: _discrete_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpmf(self, x, n, p):
coeff = gamln(n+x) - gamln(x+1) - gamln(n)
return coeff + n*log(p) + special.xlog1py(x, -p)
Example #13
| Source File: _discrete_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpmf(self, x, n, p):
k = floor(x)
combiln = (gamln(n+1) - (gamln(k+1) + gamln(n-k+1)))
return combiln + special.xlogy(k, p) + special.xlog1py(n-k, -p)
Example #14
| Source File: _continuous_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpdf(self, x, c):
return _lazywhere((x == x) & (c != 0), (x, c),
lambda x, c: -sc.xlog1py(c + 1., c*x) / c,
-x)
Example #15
| Source File: _continuous_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpdf(self, x, a, b):
lPx = sc.xlog1py(b - 1.0, -x) + sc.xlogy(a - 1.0, x)
lPx -= sc.betaln(a, b)
return lPx
Example #16
| Source File: _continuous_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpdf(self, x, c, d):
return np.log(c) + np.log(d) + sc.xlogy(c - 1, x) + sc.xlog1py(-d-1, x**c)
Example #17
| Source File: _continuous_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpdf(self, x, a, b):
return sc.xlogy(a - 1.0, x) - sc.xlog1py(a + b, x) - sc.betaln(a, b)
Example #18
| Source File: _continuous_distns.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def _logpdf(self, x, a, b):
lPx = sc.xlog1py(b - 1.0, -x) + sc.xlogy(a - 1.0, x)
lPx -= sc.betaln(a, b)
return lPx
Example #19
| Source File: viewpoint.py From HiCExplorer with GNU General Public License v3.0 | 5 votes |
|
def pdf(self, pX, pR, pP):
"""
PDF for a continuous generalization of NB distribution
"""
gamma_part = gammaln(pR + pX) - gammaln(pX + 1) - gammaln(pR)
return np.exp(gamma_part + (pR * log(pP)) + special.xlog1py(pX, -pP))
Example #20
| Source File: test_basic.py From Computable with MIT License | 5 votes |
|
def test_xlog1py():
def xfunc(x, y):
if x == 0 and not np.isnan(y):
return x
else:
return x * np.log1p(y)
z1 = np.asarray([(0,0), (0, np.nan), (0, np.inf), (1.0, 2.0),
(1, 1e-30)], dtype=float)
w1 = np.vectorize(xfunc)(z1[:,0], z1[:,1])
assert_func_equal(special.xlog1py, w1, z1, rtol=1e-13, atol=1e-13)
Example #21
| Source File: _discrete_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpmf(self, k, p):
return special.xlog1py(k - 1, -p) + log(p)
Example #22
| Source File: _discrete_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpmf(self, x, n, p):
coeff = gamln(n+x) - gamln(x+1) - gamln(n)
return coeff + n*log(p) + special.xlog1py(x, -p)
Example #23
| Source File: _discrete_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpmf(self, x, n, p):
k = floor(x)
combiln = (gamln(n+1) - (gamln(k+1) + gamln(n-k+1)))
return combiln + special.xlogy(k, p) + special.xlog1py(n-k, -p)
Example #24
| Source File: _continuous_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpdf(self, x, c):
return _lazywhere((x == x) & (c != 0), (x, c),
lambda x, c: -sc.xlog1py(c + 1., c*x) / c,
-x)
Example #25
| Source File: _continuous_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logsf(self, x, c, d):
return sc.xlog1py(-d, x**c)
Example #26
| Source File: _continuous_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpdf(self, x, c, d):
return np.log(c) + np.log(d) + sc.xlogy(c - 1, x) + sc.xlog1py(-d-1, x**c)
Example #27
| Source File: _continuous_distns.py From lambda-packs with MIT License | 5 votes |
|
def _logpdf(self, x, a, b):
return sc.xlogy(a - 1.0, x) - sc.xlog1py(a + b, x) - sc.betaln(a, b)
