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zhuyitan / IGTD

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
MIT License
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Matrix image shape #1

Open sparcycram opened 3 years ago

sparcycram commented 3 years ago

I have read the paper in nature and I am unsure if the image created needs to be symmetrical? If I have 200 features can I create an image of 20 x 10 or does it need to be symmetrical by adding padding features so it has an integer square root?

maxwell1386 commented 3 years ago

how can a new data (unseen data or predicting data) convert to image after converting all data to image? how could new data normalize if new data have the feature values with bigger or smaller than max or min for normalizing?

zhuyitan commented 2 years ago

@sparcycram The converted images do not need to be symmetrical. A size of 20 x 10 will be perfectly fine.

@maxwell1386 To include new data in image conversion, you will need to combine new data with old data and use the max and min of combined data for normalization.

kmf909 commented 2 years ago

if i have 15 feature, what is the optimum size of image to create