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Revision 12243a6a2a325f823704be7c72c83e222dd3b53b authored by st-- on 02 June 2020, 12:16:24 UTC, committed by GitHub on 02 June 2020, 12:16:24 UTC 
clean up Scipy types & code (#1454)
 
Doc improvement: Fixes some typos in the Scipy docstring and adds a note on scipy minimize()'s callback argument vs GPflow Scipy().minimize()'s step_callback. Cleans up types in the module. 

Backwards-incompatible change: the `step_callback` that can be passes to the Scipy.minimize() method is changed to take its arguments by position, not name; in line with the StepCallback type signature (and in line with Python's typing.Callable documentation which suggests that callbacks should take arguments preferentially by position, not name).
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__init__.py 
# Copyright 2017 Artem Artemev @awav
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# flake8: noqa

from .gplvm import GPLVM, BayesianGPLVM
from .gpmc import GPMC
from .gpr import GPR
from .model import BayesianModel, GPModel
from .training_mixins import (
    ExternalDataTrainingLossMixin,
    InternalDataTrainingLossMixin,
)

# from .gplvm import PCA_reduce
from .sgpmc import SGPMC
from .sgpr import GPRFITC, SGPR
from .svgp import SVGP
from .vgp import VGP, VGPOpperArchambeau
from .util import (
    training_loss,
    training_loss_closure,
    maximum_log_likelihood_objective,
)
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