46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Configurable model options for text classifier models."""
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import dataclasses
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from typing import Union
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from mediapipe.model_maker.python.text.core import bert_model_options
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# BERT text classifier options inherited from BertModelOptions.
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BertClassifierOptions = bert_model_options.BertModelOptions
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@dataclasses.dataclass
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class AverageWordEmbeddingClassifierOptions:
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"""Configurable model options for an Average Word Embedding classifier.
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Attributes:
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seq_len: Length of the sequence to feed into the model.
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wordvec_dim: Dimension of the word embedding.
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do_lower_case: Whether to convert all uppercase characters to lowercase
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during preprocessing.
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vocab_size: Number of words to generate the vocabulary from data.
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dropout_rate: The rate for dropout.
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"""
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seq_len: int = 256
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wordvec_dim: int = 16
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do_lower_case: bool = True
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vocab_size: int = 10000
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dropout_rate: float = 0.2
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TextClassifierModelOptions = Union[AverageWordEmbeddingClassifierOptions,
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BertClassifierOptions]
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