main.py

# Copyright 2018 Timur Sokhin.
#
# 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 keras.datasets import imdb

import neuvol


def main():
    (x_train, y_train), (x_test, y_test) = imdb.load_data(
                                                        path="imdb.npz",
                                                        num_words=30000,
                                                        skip_top=0,
                                                        maxlen=100,
                                                        seed=113,
                                                        start_char=1,
                                                        oov_char=2,
                                                        index_from=3)

    evaluator = neuvol.Evaluator(x_train, y_train, kfold_number=1)
    mutator = neuvol.Mutator()

    evaluator.set_create_tokens(False)
    options = {'classes': 2}

    wop = neuvol.evolution.Evolution(10, 10, evaluator, mutator, 'text', 'classification', freeze=None, **options)
    wop.cultivate()

    for individ in wop.population:
        print('Architecture: \n')
        print(individ.schema)
        print('\nScore: ', individ.result)


if __name__ == "__main__":
    main()