pyhf
v0.2.2
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A
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B
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C
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D
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E
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G
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H
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I
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L
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M
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N
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O
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P
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Q
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R
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T
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Z
_
__init__() (pyhf.interpolators.code0 method)
(pyhf.interpolators.code1 method)
(pyhf.interpolators.code2 method)
(pyhf.interpolators.code4 method)
(pyhf.interpolators.code4p method)
(pyhf.modifiers.histosys method)
(pyhf.modifiers.normfactor method)
(pyhf.modifiers.normsys method)
(pyhf.modifiers.shapefactor method)
(pyhf.modifiers.shapesys method)
(pyhf.modifiers.staterror method)
(pyhf.optimize.opt_scipy.scipy_optimizer method)
(pyhf.pdf._ModelConfig method)
(pyhf.pdf.Model method)
(pyhf.probability.Independent method)
(pyhf.probability.Normal method)
(pyhf.probability.Poisson method)
(pyhf.probability.Simultaneous method)
(pyhf.tensor.numpy_backend.numpy_backend method)
_ModelConfig (class in pyhf.pdf)
A
abs() (pyhf.tensor.numpy_backend.numpy_backend method)
astensor() (pyhf.tensor.numpy_backend.numpy_backend method)
B
boolean_mask() (pyhf.tensor.numpy_backend.numpy_backend method)
C
clip() (pyhf.tensor.numpy_backend.numpy_backend method)
code0 (class in pyhf.interpolators)
code1 (class in pyhf.interpolators)
code2 (class in pyhf.interpolators)
code4 (class in pyhf.interpolators)
code4p (class in pyhf.interpolators)
concatenate() (pyhf.tensor.numpy_backend.numpy_backend method)
conditional() (pyhf.tensor.numpy_backend.numpy_backend method)
constrained_bestfit() (pyhf.optimize.opt_scipy.scipy_optimizer method)
constraint_logpdf() (pyhf.pdf.Model method)
D
default_backend (in module pyhf)
default_optimizer (in module pyhf)
divide() (pyhf.tensor.numpy_backend.numpy_backend method)
E
einsum() (pyhf.tensor.numpy_backend.numpy_backend method)
exp() (pyhf.tensor.numpy_backend.numpy_backend method)
expected_actualdata() (pyhf.pdf.Model method)
expected_auxdata() (pyhf.pdf.Model method)
expected_data() (pyhf.pdf.Model method)
(pyhf.probability.Independent method)
(pyhf.probability.Normal method)
(pyhf.probability.Poisson method)
(pyhf.probability.Simultaneous method)
G
gather() (pyhf.tensor.numpy_backend.numpy_backend method)
generate_asimov_data() (in module pyhf.utils)
get_backend() (in module pyhf)
H
histosys (class in pyhf.modifiers)
hypotest() (in module pyhf.utils)
I
Independent (class in pyhf.probability)
InvalidInterpCode (class in pyhf.exceptions)
InvalidModifier (class in pyhf.exceptions)
is_constrained (pyhf.modifiers.histosys attribute)
(pyhf.modifiers.normfactor attribute)
(pyhf.modifiers.normsys attribute)
(pyhf.modifiers.shapefactor attribute)
(pyhf.modifiers.shapesys attribute)
(pyhf.modifiers.staterror attribute)
isfinite() (pyhf.tensor.numpy_backend.numpy_backend method)
L
log() (pyhf.tensor.numpy_backend.numpy_backend method)
log_prob() (pyhf.probability.Independent method)
(pyhf.probability.Normal method)
(pyhf.probability.Poisson method)
(pyhf.probability.Simultaneous method)
loglambdav() (in module pyhf.utils)
logpdf() (pyhf.pdf.Model method)
M
mainlogpdf() (pyhf.pdf.Model method)
make_pdf() (pyhf.pdf.Model method)
Model (class in pyhf.pdf)
N
nominal_rates (pyhf.pdf.Model attribute)
Normal (class in pyhf.probability)
normal() (pyhf.tensor.numpy_backend.numpy_backend method)
normal_cdf() (pyhf.tensor.numpy_backend.numpy_backend method)
normal_dist() (pyhf.tensor.numpy_backend.numpy_backend method)
normal_logpdf() (pyhf.tensor.numpy_backend.numpy_backend method)
normfactor (class in pyhf.modifiers)
normsys (class in pyhf.modifiers)
numpy_backend (class in pyhf.tensor.numpy_backend)
O
ones() (pyhf.tensor.numpy_backend.numpy_backend method)
op_code (pyhf.modifiers.histosys attribute)
(pyhf.modifiers.normfactor attribute)
(pyhf.modifiers.normsys attribute)
(pyhf.modifiers.shapefactor attribute)
(pyhf.modifiers.shapesys attribute)
(pyhf.modifiers.staterror attribute)
optimizer (in module pyhf)
outer() (pyhf.tensor.numpy_backend.numpy_backend method)
P
par_slice() (pyhf.pdf._ModelConfig method)
param_set() (pyhf.pdf._ModelConfig method)
pdf() (pyhf.pdf.Model method)
pdf_type (pyhf.modifiers.histosys attribute)
(pyhf.modifiers.normfactor attribute)
(pyhf.modifiers.normsys attribute)
(pyhf.modifiers.shapefactor attribute)
(pyhf.modifiers.shapesys attribute)
(pyhf.modifiers.staterror attribute)
Poisson (class in pyhf.probability)
poisson() (pyhf.tensor.numpy_backend.numpy_backend method)
poisson_dist() (pyhf.tensor.numpy_backend.numpy_backend method)
poisson_logpdf() (pyhf.tensor.numpy_backend.numpy_backend method)
power() (pyhf.tensor.numpy_backend.numpy_backend method)
product() (pyhf.tensor.numpy_backend.numpy_backend method)
pvals_from_teststat() (in module pyhf.utils)
pvals_from_teststat_expected() (in module pyhf.utils)
Q
qmu() (in module pyhf.utils)
R
required_parset() (pyhf.modifiers.histosys class method)
(pyhf.modifiers.normfactor class method)
(pyhf.modifiers.normsys class method)
(pyhf.modifiers.shapefactor class method)
(pyhf.modifiers.shapesys class method)
(pyhf.modifiers.staterror class method)
reshape() (pyhf.tensor.numpy_backend.numpy_backend method)
S
sample() (pyhf.probability.Independent method)
(pyhf.probability.Normal method)
(pyhf.probability.Poisson method)
(pyhf.probability.Simultaneous method)
scipy_optimizer (class in pyhf.optimize.opt_scipy)
set_backend() (in module pyhf)
set_poi() (pyhf.pdf._ModelConfig method)
shape() (pyhf.tensor.numpy_backend.numpy_backend method)
shapefactor (class in pyhf.modifiers)
shapesys (class in pyhf.modifiers)
simple_broadcast() (pyhf.tensor.numpy_backend.numpy_backend method)
Simultaneous (class in pyhf.probability)
sqrt() (pyhf.tensor.numpy_backend.numpy_backend method)
stack() (pyhf.tensor.numpy_backend.numpy_backend method)
staterror (class in pyhf.modifiers)
suggested_bounds() (pyhf.pdf._ModelConfig method)
suggested_init() (pyhf.pdf._ModelConfig method)
sum() (pyhf.tensor.numpy_backend.numpy_backend method)
T
tensorlib (in module pyhf)
tile() (pyhf.tensor.numpy_backend.numpy_backend method)
tolist() (pyhf.tensor.numpy_backend.numpy_backend method)
U
unconstrained_bestfit() (pyhf.optimize.opt_scipy.scipy_optimizer method)
W
where() (pyhf.tensor.numpy_backend.numpy_backend method)
Z
zeros() (pyhf.tensor.numpy_backend.numpy_backend method)
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