-
I was looking at the docs and I saw there are a couple of non-negative decomposition, but when I installed tensorly I could not find them. Actually, the package looks a lot different than what I saw f…
-
Adding tensor classes
================
This is an issue to open to discussion a long standing design decision, namely whether to create subclasses for tensors.
Specifically there are two desig…
-
In initialize_factors, in order to check the initialization method (random or svd), the code used is:
if init is 'random':
elif init is 'svd':
This is overly constraining, as for example, the fol…
-
My input is a 30-dimensional variable. How can use tensorly to perform dimension reduction and reconstruct my input again? e.g., similar to PCA. thanks
-
I'm trying to use `parafac` on a complex tensor. I can handle the real and imaginary parts separately by calling `PR = parafac(np.real(T), rank = k)` and `PI = parafac(np.imag(T), rank = k)` and then …
-
Hi,
in tensorly.decomposition.parafac, it says that the error from each iteration is returned. Is there an inconsistency with the documentation or am I just unable to activate this return?
Thank…
-
I tried to create my own PARAFAC decomposition but when I tried with the tensorly.unfold() it did not work as it should, but when I created my own unfold func (based on another library) it worked just…
-
* iterative algorithms like PARAFAC can take a long time to finish
* introduce a `stopExecution()` (or similar method) that allows an external process to stop the build and/or filter process in a con…
-
Hello! I am receiving an error when performing nonnegative Tucker decomposition. Regular Tucker decomposition works fine, and so does PARAFAC and nonnegative PARAFAC.
![image](https://user-images.g…
-
Hi, Using the export to Matlab function with version 0.1.4, when it gets exported the x field exports as a single column of data rather than as a matrix. I don't think it's anything i've done as the s…