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ift
NIFTy
Commits
69a4c529
Commit
69a4c529
authored
Feb 06, 2018
by
Martin Reinecke
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simplify documentation
parent
f5515ccb
Pipeline
#24465
passed with stage
in 21 minutes and 26 seconds
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5 changed files
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16 additions
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40 deletions
+16
40
README.md
README.md
+1
1
nifty4/library/wiener_filter_curvature.py
nifty4/library/wiener_filter_curvature.py
+0
13
nifty4/operators/diagonal_operator.py
nifty4/operators/diagonal_operator.py
+0
13
nifty4/operators/linear_operator.py
nifty4/operators/linear_operator.py
+15
0
nifty4/operators/scaling_operator.py
nifty4/operators/scaling_operator.py
+0
13
No files found.
README.md
View file @
69a4c529
...
...
@@ 119,7 +119,7 @@ Please acknowledge the use of NIFTy in your publication(s) by using a
phrase such as the following:
> *"Some of the results in this publication have been derived using the
> NIFTy package [Steininger et al., 201
8
]."*
> NIFTy package [Steininger et al., 201
7
]."*
### References
...
...
nifty4/library/wiener_filter_curvature.py
View file @
69a4c529
...
...
@@ 60,19 +60,6 @@ class WienerFilterCurvature(EndomorphicOperator):
return
self
.
_op
.
apply
(
x
,
mode
)
def
draw_sample
(
self
):
""" Generates a sample from a Gaussian distribution with
covariance given by the operator.
This method generates samples by setting up the observation and
reconstruction of a mock signal in order to obtain residuals of the
right correlation.
Returns

sample : Field
Returns the a sample from the Gaussian of given covariance.
"""
mock_signal
=
self
.
S
.
draw_sample
()
mock_noise
=
self
.
N
.
draw_sample
()
...
...
nifty4/operators/diagonal_operator.py
View file @
69a4c529
...
...
@@ 142,19 +142,6 @@ class DiagonalOperator(EndomorphicOperator):
self
.
_spaces
)
def
draw_sample
(
self
):
""" Generates a sample from a Gaussian distribution with
covariance given by the operator.
This method generates samples by setting up the observation and
reconstruction of a mock signal in order to obtain residuals of the
right correlation.
Returns

sample : Field
Returns the a sample from the Gaussian of given covariance.
"""
if
self
.
_spaces
is
not
None
:
raise
ValueError
(
"Cannot draw (yet) from this operator"
)
...
...
nifty4/operators/linear_operator.py
View file @
69a4c529
...
...
@@ 162,3 +162,18 @@ class LinearOperator(with_metaclass(
self
.
_check_mode
(
mode
)
if
x
.
domain
!=
self
.
_dom
(
mode
):
raise
ValueError
(
"The operator's and field's domains don't match."
)
def
draw_sample
(
self
):
""" Generates a sample from a Gaussian distribution with
covariance given by the operator.
This method generates samples by setting up the observation and
reconstruction of a mock signal in order to obtain residuals of the
right correlation.
Returns

sample : Field
Returns the a sample from the Gaussian of given covariance.
"""
raise
NotImplementedError
nifty4/operators/scaling_operator.py
View file @
69a4c529
...
...
@@ 90,19 +90,6 @@ class ScalingOperator(EndomorphicOperator):
self
.
INVERSE_TIMES

self
.
ADJOINT_INVERSE_TIMES
)
def
draw_sample
(
self
):
""" Generates a sample from a Gaussian distribution with
covariance given by the operator.
This method generates samples by setting up the observation and
reconstruction of a mock signal in order to obtain residuals of the
right correlation.
Returns

sample : Field
Returns the a sample from the Gaussian of given covariance.
"""
return
Field
.
from_random
(
random_type
=
"normal"
,
domain
=
self
.
_domain
,
std
=
np
.
sqrt
(
self
.
_factor
),
...
...
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