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trained_model_data.py
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Thu, Sep 5, 09:21
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text/x-python
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Sat, Sep 7, 09:21 (1 d, 23 h)
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R6746 RationalROMPy
trained_model_data.py
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# Copyright (C) 2018 by the RROMPy authors
#
# This file is part of RROMPy.
#
# RROMPy is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# RROMPy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with RROMPy. If not, see <http://www.gnu.org/licenses/>.
#
from
copy
import
deepcopy
as
copy
from
rrompy.utilities.base.types
import
Np2D
,
List
,
paramVal
from
rrompy.utilities.exception_manager
import
RROMPyAssert
__all__
=
[
'TrainedModelData'
]
class
TrainedModelData
:
"""ROM approximant evaluation data (must be pickle-able)."""
def
__init__
(
self
,
mu0
:
paramVal
,
projMat
:
Np2D
,
scaleFactor
:
List
[
float
]
=
[
1.
],
rescalingExp
:
List
[
float
]
=
[
1.
]):
self
.
npar
=
len
(
rescalingExp
)
RROMPyAssert
(
mu0
.
shape
[
1
],
self
.
npar
,
"Number of parameters"
)
self
.
mu0
=
mu0
self
.
projMat
=
copy
(
projMat
)
self
.
scaleFactor
=
scaleFactor
self
.
rescalingExp
=
rescalingExp
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