Description
Description
I just used this method to creat words vector.
var text_dataset = tf.constant( "quz foo tak");
print(text_dataset);
var vectorizer = KerasApi.keras.preprocessing.TextVectorization(max_tokens: 1000, output_sequence_length: 4) ;
vectorizer.adapt(text_dataset);
print(vectorizer.Apply(tf.constant("quz" )));
The result is
tf.Tensor: shape=(), dtype=string, numpy='quz foo tak'
tf.Tensor: shape=(), dtype=string, numpy='quz'
It seems nothing hanppen. There is also no examples or test code in docs.
Please help me the right way to use this method, thanks.
I just checked the decompiled code, I found some things maybe the bugs that in CombinerPreprocessingLayer : Layer this class, the method adapt is virtual modifier. But this class inherits from the abstract class Layer. So the vectorizer.adapt(text_dataset) in my code executed the adapt method in the abstract class Layer, as a result this code vectorizer.adapt(text_dataset) didn't work or just did nothing. There is no connection between the adapt method in
TextVectorization class and ILayer class I guessed that.
I don't know. I'm not good at check the code. I had a headache. But I want to get help even just for learning code.
Alternatives
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