mediapipe_model_maker.text_classifier.AverageWordEmbeddingModelOptions

Configurable model options for an Average Word Embedding classifier.

View aliases

Main aliases

mediapipe_model_maker.python.text.text_classifier.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.model_options.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.model_spec.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier.ms.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier.text_classifier_options.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier.text_classifier_options.ms.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier_options.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.python.text.text_classifier.text_classifier_options.ms.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.model_options.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.model_spec.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier.ms.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier.text_classifier_options.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier.text_classifier_options.ms.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier_options.mo.AverageWordEmbeddingModelOptions, mediapipe_model_maker.text_classifier.text_classifier_options.ms.mo.AverageWordEmbeddingModelOptions

mediapipe_model_maker.text_classifier.AverageWordEmbeddingModelOptions(
    seq_len: int = 256,
    wordvec_dim: int = 16,
    do_lower_case: bool = True,
    vocab_size: int = 10000,
    dropout_rate: float = 0.2
)

Attributes
seq_len	Length of the sequence to feed into the model.
wordvec_dim	Dimension of the word embedding.
do_lower_case	Whether to convert all uppercase characters to lowercase during preprocessing.
vocab_size	Number of words to generate the vocabulary from data.
dropout_rate	The rate for dropout.

Methods

__eq__

__eq__(
    other
)

Class Variables
do_lower_case	True
dropout_rate	0.2
seq_len	256
vocab_size	10000
wordvec_dim	16