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PARAFAC support for missing values can be added quite easily as follows:
In each iteration a missing value x_ijk can be estimated by x_ijk = sum_{1..F} (a_if * b_jf * c_kf)
The easiest approach…
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Hi,
I encountered segmentation faults when calling `parafac()` for CP decomposition. My code is the following:
```
import numpy as np
import tensorly as tl
from tensorly.decomposition import pa…
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Any ideas on what command-line options and flags we should implement?
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flake8 testing of https://github.com/tensorly/tensorly on Python 2.7.13
$ __flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__
```
./doc/sphinx_ext/sphinx_gallery/py_…
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Hi Philippe,
I am testing your package, it's really great work, very useful.
I was getting an error with the interactive mode when trying to plot data from your examples (cary data):
`Error: attempt …
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Thanks for your great effort. I just tried the staged branch (#8) on julia 0.4:
``` julia
A = randn(2000, 10)
B = randn(2000, 10)
C = randn(2000, 10)
@tensor V[a,b,c] := A[a,k]*B[b,k]*C[c,k]
```
re…
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Hi,
I'm trying to decompose a Tensor (m, n, o) into matrices A(m, r), B (n, r) and C (k, r). This is known as [PARAFAC decomposition](https://tensorly.github.io/stable/tensor_decomposition.html). [T…
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refs: http://cgi.csc.liv.ac.uk/~danushka/papers/jsai_nori_interest.pdf
title: ソーシャルメディア上の行為に基づく興味予測
author 則 のぞみ, ボレガラ ダヌシカ, 石塚 満
- 様々なウェブサービス上の行為データを興味予測に活用できるのか。それはどのような場合か
- ユーザの行為データを多項間関係データと…