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  /external/tensorflow/tensorflow/contrib/distributions/python/ops/
sinh_arcsinh.py 45 and `skewness`. Additionally we allow for distributions other than Normal,
52 `(loc, scale, skewness, tailweight)`, via the relation:
56 F(Z) := Sinh( (Arcsinh(Z) + skewness) * tailweight )
63 * If `skewness = 0` and `tailweight = 1` (the defaults), `F(Z) = Z`, and then
66 * The multiplication of `scale` by `2 / F_0(2)` ensures that if `skewness = 0`
74 * Positive (negative) `skewness` leads to positive (negative) skew.
86 `|Z| >> (|skewness| * tailweight)**tailweight`, we have
87 `Y approx 0.5 Z**tailweight e**(sign(Z) skewness * tailweight)`.
109 skewness=None,
117 Arguments `(loc, scale, skewness, tailweight)` must have broadcastable shap
224 def skewness(self): member in class:SinhArcsinh
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vector_sinh_arcsinh_diag.py 45 and `skewness`. Additionally we allow for distributions other than Normal,
52 `(loc, scale, skewness, tailweight)`, via the relation (with `@` denoting
57 F(Z) := Sinh( (Arcsinh(Z) + skewness) * tailweight )
64 * If `skewness = 0` and `tailweight = 1` (the defaults), `F(Z) = Z`, and then
67 * The multiplication of `scale` by `2 / F_0(2)` ensures that if `skewness = 0`
75 * Positive (negative) `skewness` leads to positive (negative) skew.
87 `|Z| >> (|skewness| * tailweight)**tailweight`, we have
88 `Y approx 0.5 Z**tailweight e**(sign(Z) skewness * tailweight)`.
111 skewness=None,
149 skewness: Skewness parameter. floating-point `Tensor` with shap
272 def skewness(self): member in class:VectorSinhArcsinhDiag
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  /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
sinh_arcsinh.py 68 """Compute `Y = g(X) = Sinh( (Arcsinh(X) + skewness) * tailweight )`.
70 For `skewness in (-inf, inf)` and `tailweight in (0, inf)`, this
73 `X = g^{-1}(Y) = Sinh( ArcSinh(Y) / tailweight - skewness )`.
82 * If `skewness = 0` and `tailweight = 1`, this transform is the identity.
83 * Positive (negative) `skewness` leads to positive (negative) skew.
96 `|X| >> (|skewness| * tailweight)**tailweight`, we have
97 `Y approx 0.5 X**tailweight e**(sign(X) skewness * tailweight)`.
109 skewness=None,
116 skewness: Skewness parameter. Float-type `Tensor`. Default is `0
147 def skewness(self): member in class:SinhArcsinh
    [all...]
  /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
sinh_arcsinh_bijector_test.py 37 skewness = 0.2
40 skewness=skewness,
45 y = np.sinh((np.arcsinh(x) + skewness) * tailweight)
50 np.log(np.cosh(np.arcsinh(y) / tailweight - skewness)) -
81 skewness = [[-1.], [0.], [1.]]
82 bijector = SinhArcsinh(skewness=skewness, validate_args=True)
96 bijector = SinhArcsinh(skewness=1.0, tailweight=0.5, validate_args=True)
101 bijector = SinhArcsinh(skewness=-1.0, tailweight=1.5, validate_args=True
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  /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
sinh_arcsinh_test.py 64 skewness = array_ops.placeholder(dtypes.float64)
68 skewness=skewness,
74 skewness: rng.rand(5)})
197 skewness=3.0,
208 skewness=2.,
213 skewness=-2.,
vector_sinh_arcsinh_diag_test.py 194 skewness=3.0,
208 skewness=rng.randn(d) * 0.5,
235 skewness=rng.randn(d) * 0.5,
259 skewness=2.,
264 skewness=-2.,
  /external/ImageMagick/MagickCore/
statistic.h 46 skewness, member in struct:_ChannelStatistics
statistic.c     [all...]
property.c 2983 skewness; local
3208 skewness; local
    [all...]
fx.c 1164 skewness; local
1200 skewness; local
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identify.c 448 "skewness: %.*g\n entropy: %.*g\n"
466 channel_statistics[channel].skewness,GetMagickPrecision(),
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  /external/ImageMagick/Magick++/lib/Magick++/
Statistic.h 172 // Skewness
173 double skewness() const;
  /external/ImageMagick/Magick++/lib/
Statistic.cpp 367 double Magick::ChannelStatistics::skewness() const function in class:Magick::ChannelStatistics
412 _skewness(channelStatistics_->skewness),
  /external/ImageMagick/coders/
json.c 721 "\"skewness\": %.*g,\n \"entropy\": %.*g\n }"
734 channel_statistics[channel].skewness,GetMagickPrecision(),
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  /external/ImageMagick/MagickWand/
magick-image.c     [all...]
  /external/ImageMagick/PerlMagick/
Magick.xs     [all...]
  /external/ImageMagick/PerlMagick/quantum/
quantum.xs.in     [all...]

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