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