-
Notifications
You must be signed in to change notification settings - Fork 206
/
beta_vae_test.py
42 lines (34 loc) · 1.43 KB
/
beta_vae_test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
# coding=utf-8
# Copyright 2018 The DisentanglementLib Authors. All rights reserved.
#
# 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.
"""Tests for beta_vae.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
from disentanglement_lib.data.ground_truth import dummy_data
from disentanglement_lib.evaluation.metrics import beta_vae
import numpy as np
class BetaVaeTest(absltest.TestCase):
def test_metric(self):
ground_truth_data = dummy_data.IdentityObservationsData()
representation_function = lambda x: x
random_state = np.random.RandomState(0)
scores = beta_vae.compute_beta_vae_sklearn(
ground_truth_data, representation_function, random_state, None, 5,
2000, 2000)
self.assertBetween(scores["train_accuracy"], 0.9, 1.0)
self.assertBetween(scores["eval_accuracy"], 0.9, 1.0)
if __name__ == "__main__":
absltest.main()