Timeline for autoencoder for features selection
Current License: CC BY-SA 4.0
9 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Jun 21, 2018 at 2:19 | comment | added | JahKnows | @user, can you visualize the data in some way as a sanity to check to ensure that the input is similar to the output? | |
Jun 21, 2018 at 2:13 | comment | added | fattoun | @ JahKnows please look to the figure which I appended to the question, If you can tell me where is the error | |
Jun 21, 2018 at 1:49 | comment | added | JahKnows |
@user, input_shape is just the shape of the $z$ vector. You will pass the actual values through the .fit() method when training the classifier.
|
|
Jun 20, 2018 at 13:16 | comment | added | fattoun | thankyou @JahKnows. this is helpful. So the imput vector z which I will use in the classifier where are you save it. is it " imput_shape"? | |
Jun 20, 2018 at 3:18 | history | edited | JahKnows | CC BY-SA 4.0 |
added 8501 characters in body
|
Jun 20, 2018 at 2:54 | comment | added | JahKnows | @user, I don't really understand your question. But I will append some code of an autoencoder to the answer. | |
Jun 19, 2018 at 10:15 | comment | added | Aditya | Being a beginner (me too) and jumping in here and there into Advanced Topics is insane... | |
Jun 19, 2018 at 4:35 | comment | added | fattoun | thank you. should I add the class column again to the dataset since I will use a supervised classifier ? if so how to do it since the data was changed? can you please give me an exemple of code to do it? forgive me for my questions which are may be silly but Im a beginner. | |
Jun 19, 2018 at 0:11 | history | answered | JahKnows | CC BY-SA 4.0 |