-
First, just to explain why I'm looking at this—I'm interested in implementing a truncated SVD because we deal with data that's very tall and skinny. For example, we're using PARAFAC2 where we end up w…
-
Dear colleagues,
I am trying to use your code for supervised PARAFAC and unfortunately, I received a mistake:
![image](https://user-images.githubusercontent.com/61549119/78382870-2b6e6280-75e0-11e…
-
Each time parafac is run different alignments of component 1 vs component 2 arise.
-
-
**Submitting author:** @jvendrow (Joshua Vendrow)
**Repository:** https://github.com/jvendrow/fnnls
**Version:** v.0.0.1
**Editor:** Pending
**Reviewer:** Pending
**Managing EiC:** Arfon Smith
**:war…
-
#### Describe the bug
An example program in documentation needs update. It does not run with scipy.misc and current version of tensorly.
#### Steps or Code to Reproduce
```python
from tensor…
-
Thanks for a great package! A small issue with the function "eem_spectral_cor". The function checks to see that the intervals match up for the emission and excitation correction files. For Aqualogs th…
-
I'm using the non_negative_parafac function to decompose 3way data tensors of Mass Spectrometry data with approximate dimensions of (15x40x7000).
The function usually works just fine, but for cert…
-
When I ran the following code:
X = tl.tensor(np.random.randn(8,8,8)/ 8 )
weights, factors = parafac(X, rank=2, normalize_factors=True)
I got this error:
Traceback (most recent call last):
…
-
With TensorFlow 1.12.0 as the backend I run into an index error when trying to use parafac.
Try the following:
```import numpy as np
import tensorflow as tf
tf.__version__
tf.enable_eager_ex…