| # Copyright 2017 Google Inc. | |
| # | |
| # 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. | |
| """Abstract class for sampling methods. | |
| Provides interface to sampling methods that allow same signature | |
| for select_batch. Each subclass implements select_batch_ with the desired | |
| signature for readability. | |
| """ | |
| import abc | |
| import numpy as np | |
| class SamplingMethod(object): | |
| __metaclass__ = abc.ABCMeta | |
| def __init__(self, X, **kwargs): | |
| self.X = X | |
| def flatten_X(self): | |
| shape = self.X.shape | |
| flat_X = self.X | |
| if len(shape) > 2: | |
| flat_X = np.reshape(self.X, (shape[0], np.product(shape[1:]))) | |
| return flat_X | |
| def select_batch(self): | |
| return | |
| def to_dict(self): | |
| return None | |