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"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
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"version": "3.10.13"
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"name": "python",
"nbconvert_exporter": "python",
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"version": "3.10.13"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.14"
}
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"name": "python",
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"version": "3.10.13"
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"name": "python",
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"version": "3.10.13"
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/applications/plot_IL2.rst.txt
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Expand Up @@ -242,7 +242,7 @@ affect IL-2 signaling in immune cells.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.709 seconds)
**Total running time of the script:** (0 minutes 1.755 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_IL2.py:
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4 changes: 2 additions & 2 deletions dev/_sources/auto_examples/applications/plot_covid.rst.txt
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Expand Up @@ -201,7 +201,7 @@ how each component looks like on weights.
.. code-block:: none
<matplotlib.colorbar.Colorbar object at 0x7182b5f986d0>
<matplotlib.colorbar.Colorbar object at 0x7fcd352b9630>
Expand All @@ -228,7 +228,7 @@ References

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 6.653 seconds)
**Total running time of the script:** (0 minutes 6.845 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_covid.py:
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Expand Up @@ -112,7 +112,7 @@ Example on how to use :func:`tensorly.decomposition.parafac` and :func:`tensorly
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 3.223 seconds)
**Total running time of the script:** (0 minutes 2.492 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_image_compression.py:
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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**00:11.585** total execution time for 3 files **from auto_examples/applications**:
**00:11.092** total execution time for 3 files **from auto_examples/applications**:

.. container::

Expand All @@ -33,11 +33,11 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_applications_plot_covid.py` (``plot_covid.py``)
- 00:06.653
- 00:06.845
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_image_compression.py` (``plot_image_compression.py``)
- 00:03.223
- 00:02.492
- 0.0
* - :ref:`sphx_glr_auto_examples_applications_plot_IL2.py` (``plot_IL2.py``)
- 00:01.709
- 00:01.755
- 0.0
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Expand Up @@ -88,7 +88,7 @@ Example on how to use :func:`tensorly.decomposition.parafac` with line search to
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 9.283 seconds)
**Total running time of the script:** (0 minutes 9.463 seconds)


.. _sphx_glr_download_auto_examples_decomposition_plot_cp_line_search.py:
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Expand Up @@ -240,21 +240,21 @@ a python dictionary:
.. code-block:: none
1. factor
[[5.01 0.77 0. ]
[4.86 0.62 1.25]
[4.7 1.23 0.36]
[4.2 0. 0. ]
[4.43 1.7 1.78]
[4.11 0. 0.41]]
[[4.23 1.61 1.67]
[4.94 3.18 3.22]
[4.19 0. 0.36]
[4.76 0. 0.37]
[4.66 0.33 0.87]
[4.54 0.41 0. ]]
2. factor
[[ 0.29 0.42 -0.35]
[ 0.28 0.52 -0.56]
[ 0.37 -0.27 -0.03]
[ 0.32 0.44 -0.68]
[ 0.36 -0.03 -0.01]
[ 0.47 -0.64 0.18]
[ 0.42 -0.65 0.43]
[ 0.36 0.05 0.31]]
[[ 0.29 0.03 0.14]
[ 0.34 -0.31 0.21]
[ 0.39 0.14 -0.23]
[ 0.36 -0.02 -0.03]
[ 0.28 -0.96 0.9 ]
[ 0.27 -0.46 0.55]
[ 0.41 0.79 -0.97]
[ 0.35 0.32 -0.27]]
Expand Down Expand Up @@ -365,32 +365,32 @@ only `True` depending on the selected constraint.
.. code-block:: none
1. factor
[[ 16.62 -6.19 5.83]
[ 15.51 8.93 10.96]
[ 15.48 7.21 -3.6 ]
[ 13.82 -13.15 12.6 ]
[ 13.69 10.19 3.63]
[ 14.28 5.18 -12.23]]
[[ 30.87 13.92 -2.7 ]
[ 32.97 -11.63 -1.82]
[ 27.58 -32.52 31.18]
[ 32.93 -28.29 52.74]
[ 33.5 -6.66 19.37]
[ 32.8 5.53 3.37]]
2. factor
[[0.34 0. 0. ]
[0.32 1. 0.4 ]
[0.36 0. 0. ]
[0.33 1.09 0.3 ]
[0.37 0. 1.23]
[0.43 0. 0. ]
[0.4 0. 0.45]
[0.41 0. 0.2 ]]
[[0.37 0.74 1.44]
[0.39 0. 0.45]
[0.41 0. 0. ]
[0.37 1.19 1.08]
[0.37 0. 0.38]
[0.34 0.7 0.57]
[0.37 0.17 0. ]
[0.37 0.67 0. ]]
3. factor
[[ 0.09 -0.01 -0.02]
[ 0.09 -0.01 0.03]
[ 0.08 -0. -0.02]
[ 0.09 0.02 -0.01]
[ 0.09 0.02 0.02]
[ 0.09 -0.01 0. ]
[ 0.08 0.01 0.01]
[ 0.08 0.03 0.03]
[ 0.1 -0.03 -0.02]
[ 0.09 -0.01 0.01]]
[[ 0.04 -0.01 -0. ]
[ 0.04 -0.02 -0.01]
[ 0.04 0.01 0.01]
[ 0.04 -0.01 -0. ]
[ 0.04 -0.02 -0.01]
[ 0.04 0. 0. ]
[ 0.04 0.01 0.01]
[ 0.04 -0.01 -0.01]
[ 0.04 0. -0.01]
[ 0.04 0.01 0. ]]
Expand All @@ -416,7 +416,7 @@ IEEE Transactions on Signal Processing 64.19 (2016): 5052-5065.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 4.436 seconds)
**Total running time of the script:** (0 minutes 4.691 seconds)


.. _sphx_glr_download_auto_examples_decomposition_plot_guide_for_constrained_cp.py:
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28 changes: 14 additions & 14 deletions dev/_sources/auto_examples/decomposition/plot_nn_cp_hals.rst.txt
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Expand Up @@ -157,11 +157,11 @@ the case but the approximation is quite coarse.
.. code-block:: none
reconstructed tensor
[[[8195.32 8155.03]
[8390.19 8290.16]]
[[[8330.97 8239.9 ]
[8370. 8308.01]]
[[9122.29 9026.65]
[9047.23 8869.07]]]
[[9100.11 9063.56]
[9117.18 9124.91]]]
input data tensor
[[[8210. 8211.]
Expand Down Expand Up @@ -218,11 +218,11 @@ Again, we can look at the reconstructed tensor entries.
.. code-block:: none
reconstructed tensor
[[[8213.2 8214.26]
[8229.96 8234.15]]
[[[8208.2 8198.25]
[8215.63 8215.23]]
[[9012.77 9014. ]
[9030.11 9033.87]]]
[[9008.34 8999.47]
[9017.04 9016.61]]]
input data tensor
[[[8210. 8211.]
Expand Down Expand Up @@ -288,8 +288,8 @@ First comparison option is processing time for each algorithm:
.. code-block:: none
0.21 seconds
0.21 seconds
282.85 seconds
0.27 seconds
91.70 seconds
Expand Down Expand Up @@ -322,9 +322,9 @@ In Tensorly, we provide a function to calculate Root Mean Square Error (RMSE):

.. code-block:: none
225.40947
26.551804
0.35330307
241.43759
34.252407
0.46996328
Expand Down Expand Up @@ -386,7 +386,7 @@ Neural computation, 24(4), 1085-1105. (Link)

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (4 minutes 43.344 seconds)
**Total running time of the script:** (1 minutes 32.250 seconds)


.. _sphx_glr_download_auto_examples_decomposition_plot_nn_cp_hals.py:
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10 changes: 5 additions & 5 deletions dev/_sources/auto_examples/decomposition/plot_nn_tucker.rst.txt
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Expand Up @@ -207,7 +207,7 @@ processing time:
.. code-block:: none
time for tensorly nntucker: 0.09
time for HALS with fista: 1.20
time for HALS with fista: 1.22
time for HALS with as: 0.31
Expand Down Expand Up @@ -238,9 +238,9 @@ to compute Root Mean Square Error (RMSE):

.. code-block:: none
RMSE tensorly nntucker: 284.4879249147315
RMSE for hals with fista: 280.8198240816218
RMSE for hals with as: 280.61942507465903
RMSE tensorly nntucker: 285.99732817359995
RMSE for hals with fista: 282.8753945275438
RMSE for hals with as: 283.66170998047943
Expand Down Expand Up @@ -304,7 +304,7 @@ Neural computation, 24(4), 1085-1105.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.698 seconds)
**Total running time of the script:** (0 minutes 1.708 seconds)


.. _sphx_glr_download_auto_examples_decomposition_plot_nn_tucker.py:
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