zhuyitan / igtd Goto Github PK

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?

What is the final image for training a CNN and where can it be called from the Test_1 and Test_2 directories?

Hello,
I'm trying to use your code for prediction based on chemistry descriptors. How can I create such images for test set, when I've already obtained model based on training set presented with IGTD? In different words, after creation of images are there any settings which I should give to test set?

Results.pkl in Test_1 and Test_2 directories should store the original tabular data, the generated image data, and the names of samples. It does not display all these files when pickle.load() is executed.

Hi !

I have a project about Binary Classification with Tabular data. Data contains 3 columns as input and 1 column as output. Also the number of rows is 6646.

I want bigger matrix. What I mean is because of the 3 inputs, generated images only becomes like 1-3 or 3-1. For example I want 4*4 images which generated from 3 inputs.

I want images like this :

Is there any way to do this ?

When using the image transformation, depending on the number of columns (for example ~20 thousand colons), I encounter quite long algorithm run times, for example about 30 hours, but as a result, I get a crash. I got around this by reducing the number of columns. What are your suggestions, what would you recommend?
Thank in advance

Not necessarily an issue and more of a question...
Would it be possible to convert from the image back to panel data?

Hello,

I ran the Examples_Of_Table_To_Image_Conversion.py file and it produced the expected output images. I now am attempting to create my own images, but when I add my own test data, and follow the same steps as Examples_Of_Table_To_Image_Conversion.py, it produces empty images and data text files. The script runs otherwise as expected, and produces all other images and text files correctly with no error. Is there a way I can debug what is going on with the algo?

@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.

Originally posted by @zhuyitan in #1 (comment)