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Comments (4)

haifeng-jin avatar haifeng-jin commented on May 22, 2024 5

Thank you for your request.
This will be supported together with the 3D input.

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ddofer avatar ddofer commented on May 22, 2024

+1 . Search for a given 1D discrete or continous sequence would be amazing.

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maystroh avatar maystroh commented on May 22, 2024

I'm looking for an autoML that handles 1D vector data. Can ImageClassifier1D be used to classify 1D signals? If yes, what will be the embedding size in this case? I apologize if this is a newbie question. Thanks btw for your great work.

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simgunz avatar simgunz commented on May 22, 2024

@maystroh Try to expand the dimension of the X data as follow:

import numpy as np
from autokeras.image.image_supervised import ImageClassifier1D

X = np.random.normal(size=(100000,10)) # 1M examples of 1D signal with 10 samples 
Y = np.random.randint(4, size=(100000,))

model = ImageClassifier1D(verbose=True)

X_train = np.expand_dims(X, axis=2)
model.fit(X_train, Y, time_limit=1 * 60 * 60)

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