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tensorly · Jan 8, 2024 · 22898ee · 22898ee
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diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_images/sphx_glr_plot_cp_line_search_001.png b/dev/_images/sphx_glr_plot_cp_line_search_001.png
diff --git a/dev/_images/sphx_glr_plot_cp_line_search_thumb.png b/dev/_images/sphx_glr_plot_cp_line_search_thumb.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_001.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_001.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_002.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_002.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_003.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_003.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_004.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_004.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_005.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_005.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_006.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_006.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_thumb.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_thumb.png
diff --git a/dev/_images/sphx_glr_plot_image_compression_001.png b/dev/_images/sphx_glr_plot_image_compression_001.png
diff --git a/dev/_images/sphx_glr_plot_image_compression_thumb.png b/dev/_images/sphx_glr_plot_image_compression_thumb.png
diff --git a/dev/_images/sphx_glr_plot_nn_cp_hals_001.png b/dev/_images/sphx_glr_plot_nn_cp_hals_001.png
diff --git a/dev/_images/sphx_glr_plot_nn_cp_hals_thumb.png b/dev/_images/sphx_glr_plot_nn_cp_hals_thumb.png
diff --git a/dev/_images/sphx_glr_plot_nn_tucker_001.png b/dev/_images/sphx_glr_plot_nn_tucker_001.png
diff --git a/dev/_images/sphx_glr_plot_nn_tucker_thumb.png b/dev/_images/sphx_glr_plot_nn_tucker_thumb.png
diff --git a/dev/_images/sphx_glr_plot_permute_factors_001.png b/dev/_images/sphx_glr_plot_permute_factors_001.png
diff --git a/dev/_images/sphx_glr_plot_permute_factors_thumb.png b/dev/_images/sphx_glr_plot_permute_factors_thumb.png
diff --git a/dev/_modules/tensorly/tenalg/proximal.html b/dev/_modules/tensorly/tenalg/proximal.html
diff --git a/dev/_sources/auto_examples/applications/plot_IL2.rst.txt b/dev/_sources/auto_examples/applications/plot_IL2.rst.txt
@@ -242,7 +242,7 @@ affect IL-2 signaling in immune cells.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.707 seconds)
+   **Total running time of the script:** (0 minutes 1.734 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_IL2.py:

diff --git a/dev/_sources/auto_examples/applications/plot_covid.rst.txt b/dev/_sources/auto_examples/applications/plot_covid.rst.txt
@@ -201,7 +201,7 @@ how each component looks like on weights.
  .. code-block:: none
 
 
-    <matplotlib.colorbar.Colorbar object at 0x7f8201d2b430>
+    <matplotlib.colorbar.Colorbar object at 0x7fd675283490>
 
 
 
@@ -228,7 +228,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 6.690 seconds)
+   **Total running time of the script:** (0 minutes 6.839 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_covid.py:

diff --git a/dev/_sources/auto_examples/applications/plot_image_compression.rst.txt b/dev/_sources/auto_examples/applications/plot_image_compression.rst.txt
@@ -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 2.923 seconds)
+   **Total running time of the script:** (0 minutes 3.151 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_image_compression.py:

diff --git a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:11.321** total execution time for 3 files **from auto_examples/applications**:
+**00:11.724** total execution time for 3 files **from auto_examples/applications**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_applications_plot_covid.py` (``plot_covid.py``)
-     - 00:06.690
+     - 00:06.839
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_image_compression.py` (``plot_image_compression.py``)
-     - 00:02.923
+     - 00:03.151
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_IL2.py` (``plot_IL2.py``)
-     - 00:01.707
+     - 00:01.734
      - 0.0
diff --git a/dev/_sources/auto_examples/decomposition/plot_cp_line_search.rst.txt b/dev/_sources/auto_examples/decomposition/plot_cp_line_search.rst.txt
@@ -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 9.249 seconds)
+   **Total running time of the script:** (0 minutes 9.254 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_cp_line_search.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_guide_for_constrained_cp.rst.txt b/dev/_sources/auto_examples/decomposition/plot_guide_for_constrained_cp.rst.txt
@@ -240,21 +240,21 @@ a python dictionary:
  .. code-block:: none
 
     1. factor
-     [[4.55 0.99 0.21]
-     [4.88 1.12 0.  ]
-     [4.52 1.09 0.07]
-     [5.35 0.47 1.36]
-     [5.53 1.29 0.69]
-     [5.18 0.73 1.39]]
+     [[4.3  0.99 0.  ]
+     [4.66 1.37 0.  ]
+     [5.59 0.23 1.62]
+     [5.68 0.15 1.93]
+     [4.57 0.51 0.51]
+     [4.63 1.31 0.  ]]
     2. factor
-     [[ 0.16  0.34  0.5 ]
-     [ 0.29  0.28  0.11]
-     [ 0.31  0.05 -0.24]
-     [ 0.54 -0.86 -0.79]
-     [ 0.58 -0.99 -0.89]
-     [ 0.19  0.46  0.08]
-     [ 0.19  0.56 -0.03]
-     [ 0.44 -0.45 -0.45]]
+     [[ 0.66 -1.24 -1.08]
+     [ 0.54 -0.66 -0.82]
+     [ 0.45 -0.55 -0.33]
+     [ 0.13  0.6   0.33]
+     [ 0.21  0.51  0.14]
+     [ 0.37 -0.05 -0.36]
+     [ 0.27  0.5  -0.22]
+     [ 0.34 -0.07 -0.1 ]]
 
 
 
@@ -365,32 +365,32 @@ only `True` depending on the selected constraint.
  .. code-block:: none
 
     1. factor
-     [[14.73 -5.06  2.18]
-     [13.22 -5.33 14.39]
-     [10.46 -8.42  1.45]
-     [13.08 -6.78  7.18]
-     [17.57 -6.77 -2.88]
-     [15.41 -6.93 -8.03]]
+     [[ 35.31  16.29 -29.05]
+     [ 33.26   7.56  22.93]
+     [ 34.05   7.52  12.17]
+     [ 36.55 -34.93 -42.34]
+     [ 35.98 -24.74 -46.67]
+     [ 36.63 -22.1  -28.89]]
     2. factor
-     [[0.07 1.18 0.  ]
-     [0.45 0.34 0.73]
-     [0.25 0.74 0.  ]
-     [0.23 0.7  0.74]
-     [0.29 0.52 0.8 ]
-     [0.46 0.   0.38]
-     [0.47 0.05 0.  ]
-     [0.14 1.04 0.63]]
+     [[0.37 0.   0.  ]
+     [0.4  0.   0.38]
+     [0.41 0.   0.92]
+     [0.37 1.43 0.43]
+     [0.42 0.73 0.68]
+     [0.42 0.   0.97]
+     [0.41 0.3  0.  ]
+     [0.43 0.   1.39]]
     3. factor
-     [[ 0.07 -0.08 -0.  ]
-     [ 0.08 -0.06 -0.01]
-     [ 0.08 -0.04  0.04]
-     [ 0.1  -0.03  0.01]
-     [ 0.06 -0.05  0.03]
-     [ 0.07 -0.05 -0.01]
-     [ 0.08 -0.04  0.02]
-     [ 0.08 -0.05  0.01]
-     [ 0.05 -0.07  0.04]
-     [ 0.05 -0.07  0.02]]
+     [[ 0.04 -0.01  0.01]
+     [ 0.03 -0.   -0.01]
+     [ 0.03  0.   -0.  ]
+     [ 0.04 -0.    0.01]
+     [ 0.04  0.01  0.  ]
+     [ 0.03  0.01  0.  ]
+     [ 0.03 -0.01  0.  ]
+     [ 0.03 -0.01  0.  ]
+     [ 0.05  0.    0.  ]
+     [ 0.04  0.01  0.  ]]
 
 
 
@@ -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 4.452 seconds)
+   **Total running time of the script:** (0 minutes 4.686 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_guide_for_constrained_cp.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_nn_cp_hals.rst.txt b/dev/_sources/auto_examples/decomposition/plot_nn_cp_hals.rst.txt
@@ -157,11 +157,11 @@ the case but the approximation is quite coarse.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8019.26 8019.86]
-      [8284.66 8208.81]]
+     [[[8166.32 8247.4 ]
+      [8288.15 8292.71]]
 
-     [[8916.03 8947.38]
-      [9195.59 9157.73]]] 
+     [[9341.93 9281.56]
+      [9367.41 9244.76]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -218,11 +218,11 @@ Again, we can look at the reconstructed tensor entries.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8228.35 8227.43]
-      [8255.33 8253.87]]
+     [[[8212.76 8212.72]
+      [8225.52 8227.16]]
 
-     [[9026.43 9025.7 ]
-      [9052.02 9050.93]]] 
+     [[9012.6  9012.59]
+      [9026.03 9027.57]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -288,8 +288,8 @@ First comparison option is processing time for each algorithm:
  .. code-block:: none
 
     0.21 seconds
-    0.36 seconds
-    144.31 seconds
+    0.09 seconds
+    93.18 seconds
 
 
 
@@ -322,9 +322,9 @@ In Tensorly, we provide a function to calculate Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    227.75887
-    24.685076
-    0.6794143
+    222.60329
+    3.8014545
+    0.40366313
 
 
 
@@ -386,7 +386,7 @@ Neural computation, 24(4), 1085-1105. (Link)
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 24.969 seconds)
+   **Total running time of the script:** (1 minutes 33.559 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_nn_cp_hals.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_nn_tucker.rst.txt b/dev/_sources/auto_examples/decomposition/plot_nn_tucker.rst.txt
@@ -207,8 +207,8 @@ processing time:
  .. code-block:: none
 
     time for tensorly nntucker: 0.09
-    time for HALS with fista: 1.20
-    time for HALS with as: 0.41
+    time for HALS with fista: 1.25
+    time for HALS with as: 0.30
 
 
 
@@ -238,9 +238,9 @@ to compute Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    RMSE tensorly nntucker: 283.1505145792412
-    RMSE for hals with fista: 280.1110456289302
-    RMSE for hals with as: 277.696695383225
+    RMSE tensorly nntucker: 286.79775764210405
+    RMSE for hals with fista: 283.29410527314405
+    RMSE for hals with as: 284.5649479412307
 
 
 
@@ -304,7 +304,7 @@ Neural computation, 24(4), 1085-1105.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.790 seconds)
+   **Total running time of the script:** (0 minutes 1.734 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_nn_tucker.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_parafac2.rst.txt b/dev/_sources/auto_examples/decomposition/plot_parafac2.rst.txt
@@ -354,7 +354,7 @@ Visualize the components
  .. code-block:: none
 
 
-    <matplotlib.legend.Legend object at 0x7f820858c730>
+    <matplotlib.legend.Legend object at 0x7fd67508dc90>
 
 
 
@@ -414,7 +414,7 @@ A direct fitting algorithm for the PARAFAC2 model.*
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 17.160 seconds)
+   **Total running time of the script:** (0 minutes 17.116 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_parafac2.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_parafac2_compression.rst.txt b/dev/_sources/auto_examples/decomposition/plot_parafac2_compression.rst.txt
@@ -158,7 +158,7 @@ with the lowest reconstruction error.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 50.8s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
+    It took 51.9s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
 
 
 
@@ -217,8 +217,8 @@ we just need to perform the compression once for the whole grid search as well.
  .. code-block:: none
 
     Fitting PARAFAC2 model with SVD compression...
-    It took 34.8s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossless SVD compression
-    The compression took 0.0s and the fitting took 34.8s
+    It took 35.5s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossless SVD compression
+    The compression took 0.0s and the fitting took 35.5s
 
 
 
@@ -279,8 +279,8 @@ removing the parts of the data matrices that have a very low "signal strength".
  .. code-block:: none
 
     Fitting PARAFAC2 model with lossy SVD compression...
-    It took 34.7s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossy SVD compression
-    Of which the compression took 0.0s and the fitting took 34.7s
+    It took 35.1s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossy SVD compression
+    Of which the compression took 0.0s and the fitting took 35.1s
 
 
 
@@ -358,7 +358,7 @@ Again, we start by fitting without compression as a baseline.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 113.6s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
+    It took 115.6s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
 
 
 
@@ -412,8 +412,8 @@ Next, we fit with lossless compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with SVD compression...
-    It took 107.6s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossless SVD compression
-    Of which the compression took 0.0s and the fitting took 107.6s
+    It took 107.1s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossless SVD compression
+    Of which the compression took 0.0s and the fitting took 107.1s
 
 
 
@@ -474,8 +474,8 @@ Finally, we fit with lossy SVD compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with lossy SVD compression...
-    It took 30.7s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
-    Of which the compression took 12.0s and the fitting took 18.7s
+    It took 30.9s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
+    Of which the compression took 12.0s and the fitting took 18.9s
 
 
 
@@ -491,7 +491,7 @@ PARAFAC2.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (6 minutes 13.401 seconds)
+   **Total running time of the script:** (6 minutes 17.262 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_parafac2_compression.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_permute_factors.rst.txt b/dev/_sources/auto_examples/decomposition/plot_permute_factors.rst.txt
@@ -175,7 +175,7 @@ before and after permuting.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.165 seconds)
+   **Total running time of the script:** (0 minutes 0.168 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_permute_factors.py: