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- #copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
- #
- #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.
- from .explanation_algorithms import CAM, LIME, NormLIME
- class Explanation(object):
- """
- Base class for all explanation algorithms.
- """
- def __init__(self, explanation_algorithm_name, predict_fn, **kwargs):
- supported_algorithms = {
- 'cam': CAM,
- 'lime': LIME,
- 'normlime': NormLIME
- }
- self.algorithm_name = explanation_algorithm_name.lower()
- assert self.algorithm_name in supported_algorithms.keys()
- self.predict_fn = predict_fn
- # initialization for the explanation algorithm.
- self.explain_algorithm = supported_algorithms[self.algorithm_name](
- self.predict_fn, **kwargs
- )
- def explain(self, data_, visualization=True, save_to_disk=True, save_dir='./tmp'):
- """
- Args:
- data_: data_ can be a path or numpy.ndarray.
- visualization: whether to show using matplotlib.
- save_to_disk: whether to save the figure in local disk.
- save_dir: dir to save figure if save_to_disk is True.
- Returns:
- """
- return self.explain_algorithm.explain(data_, visualization, save_to_disk, save_dir)
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