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tensorly · Nov 12, 2024 · e41485d · e41485d
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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/31ebe5f65fa406fbccca74ea8deb8a69/plot_IL2.zip b/dev/_downloads/31ebe5f65fa406fbccca74ea8deb8a69/plot_IL2.zip
diff --git a/dev/_downloads/3ca037908294af324764e4c88851b187/plot_covid.zip b/dev/_downloads/3ca037908294af324764e4c88851b187/plot_covid.zip
diff --git a/dev/_downloads/43729c3dc12e8eff64285b0fa0df2e01/plot_nn_tucker.zip b/dev/_downloads/43729c3dc12e8eff64285b0fa0df2e01/plot_nn_tucker.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_downloads/9176c20d1989efc7fe9ef15ff8b9ac98/plot_image_compression.zip b/dev/_downloads/9176c20d1989efc7fe9ef15ff8b9ac98/plot_image_compression.zip
diff --git a/dev/_downloads/b099986e302d05c170b2103cc56235d8/plot_parafac2.zip b/dev/_downloads/b099986e302d05c170b2103cc56235d8/plot_parafac2.zip
diff --git a/dev/_downloads/b8fdcea423023234b51dd9091c942145/plot_guide_for_constrained_cp.zip b/dev/_downloads/b8fdcea423023234b51dd9091c942145/plot_guide_for_constrained_cp.zip
diff --git a/dev/_downloads/b9cbdb6e86868da417502cdb389f58d1/plot_cp_line_search.zip b/dev/_downloads/b9cbdb6e86868da417502cdb389f58d1/plot_cp_line_search.zip
diff --git a/dev/_downloads/bcb72d6051bfbba3dbbe23efd1e3601f/plot_permute_factors.zip b/dev/_downloads/bcb72d6051bfbba3dbbe23efd1e3601f/plot_permute_factors.zip
diff --git a/dev/_downloads/c180f3d1630c24fd07b3388b592a8845/plot_parafac2_compression.zip b/dev/_downloads/c180f3d1630c24fd07b3388b592a8845/plot_parafac2_compression.zip
diff --git a/dev/_downloads/c83bd9c72b1132d0ca7a4c03a7979d57/plot_tucker_regression.zip b/dev/_downloads/c83bd9c72b1132d0ca7a4c03a7979d57/plot_tucker_regression.zip
diff --git a/dev/_downloads/cad167cb142025226f5b9454cd0abb41/plot_nn_cp_hals.zip b/dev/_downloads/cad167cb142025226f5b9454cd0abb41/plot_nn_cp_hals.zip
diff --git a/dev/_downloads/e2b69b698c4b4f8baba0fd4e55bfc00c/plot_tensor.zip b/dev/_downloads/e2b69b698c4b4f8baba0fd4e55bfc00c/plot_tensor.zip
diff --git a/dev/_downloads/f0754cb6f49432e87378932ce6ee13bb/plot_cp_regression.zip b/dev/_downloads/f0754cb6f49432e87378932ce6ee13bb/plot_cp_regression.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/_sources/auto_examples/applications/plot_IL2.rst.txt b/dev/_sources/auto_examples/applications/plot_IL2.rst.txt
@@ -254,7 +254,7 @@ affect IL-2 signaling in immune cells.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.405 seconds)
+   **Total running time of the script:** (0 minutes 1.412 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
@@ -217,7 +217,7 @@ how each component looks like on weights.
     /home/runner/work/tensorly/tensorly/examples/applications/plot_covid.py:116: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.
       fig2.colorbar(ScalarMappable(norm=plt.Normalize(-1, 1), cmap="PiYG"))
 
-    <matplotlib.colorbar.Colorbar object at 0x7f49b1f51580>
+    <matplotlib.colorbar.Colorbar object at 0x7fc17deac6e0>
 
 
 
@@ -244,7 +244,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.383 seconds)
+   **Total running time of the script:** (0 minutes 3.405 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
@@ -116,7 +116,7 @@ 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 1.329 seconds)
+   **Total running time of the script:** (0 minutes 1.443 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
 =================
-**00:06.117** total execution time for 3 files **from auto_examples/applications**:
+**00:06.260** 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``)
-     - 00:03.383
-     - 0.0
-   * - :ref:`sphx_glr_auto_examples_applications_plot_IL2.py` (``plot_IL2.py``)
-     - 00:01.405
+     - 00:03.405
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_image_compression.py` (``plot_image_compression.py``)
-     - 00:01.329
+     - 00:01.443
+     - 0.0
+   * - :ref:`sphx_glr_auto_examples_applications_plot_IL2.py` (``plot_IL2.py``)
+     - 00:01.412
      - 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
@@ -90,7 +90,7 @@ 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 3.801 seconds)
+   **Total running time of the script:** (0 minutes 3.835 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
-     [[5.34 1.19 0.5 ]
-     [5.09 1.29 0.66]
-     [6.22 1.26 0.02]
-     [2.81 0.17 0.86]
-     [5.2  1.35 0.72]
-     [2.48 0.53 1.73]]
+     [[5.31 0.   1.22]
+     [4.9  0.56 1.23]
+     [5.03 2.09 1.21]
+     [4.59 1.25 0.6 ]
+     [6.32 1.62 1.87]
+     [4.57 0.01 1.1 ]]
     2. factor
-     [[ 0.43 -0.65  0.27]
-     [ 0.18  0.21  0.74]
-     [ 0.41 -0.53  0.29]
-     [ 0.25 -0.13  0.47]
-     [ 0.57 -0.91 -0.06]
-     [ 0.42 -0.76  0.7 ]
-     [ 0.38 -0.63  0.56]
-     [ 0.3  -0.19  0.48]]
+     [[ 0.43  0.26 -0.72]
+     [ 0.45 -0.18 -0.54]
+     [ 0.4   0.35 -0.77]
+     [ 0.39 -0.27 -0.25]
+     [ 0.43 -0.32 -0.33]
+     [ 0.3   0.43 -0.38]
+     [ 0.44 -0.5  -0.33]
+     [ 0.38 -0.02 -0.29]]
 
 
 
@@ -366,32 +366,32 @@ only `True` depending on the selected constraint.
  .. code-block:: none
 
     1. factor
-     [[ 19.4   12.62   9.84]
-     [ 18.9    9.84  -8.4 ]
-     [ 14.65  15.4  -13.54]
-     [  9.    12.86 -11.77]
-     [ 17.14  11.97  -6.87]
-     [ 17.95   9.74   7.52]]
+     [[ 14.9   -4.94  -7.41]
+     [ 15.11 -15.42  -1.25]
+     [ 12.98   2.37  -4.7 ]
+     [ 13.17  12.1   -3.71]
+     [ 14.26  -4.74 -15.63]
+     [ 11.75   5.05  -5.64]]
     2. factor
-     [[0.38 0.41 0.37]
-     [0.19 0.73 0.38]
-     [0.28 0.57 1.38]
-     [0.22 0.56 0.  ]
-     [0.44 0.44 0.34]
-     [0.52 0.33 0.08]
-     [0.4  0.39 0.64]
-     [0.34 0.53 0.  ]]
+     [[0.36 0.   0.48]
+     [0.33 0.   0.9 ]
+     [0.33 0.74 0.54]
+     [0.39 0.54 0.16]
+     [0.38 0.   0.45]
+     [0.37 1.09 0.  ]
+     [0.38 0.58 0.24]
+     [0.42 0.   0.  ]]
     3. factor
-     [[ 0.09  0.   -0.03]
-     [ 0.06  0.03 -0.01]
-     [ 0.06  0.02 -0.02]
-     [ 0.05  0.04  0.01]
-     [ 0.03  0.05 -0.01]
-     [-0.    0.08  0.01]
-     [ 0.04  0.03  0.  ]
-     [ 0.05  0.03  0.01]
-     [ 0.02  0.06  0.  ]
-     [ 0.01  0.07 -0.01]]
+     [[ 0.07 -0.01 -0.02]
+     [ 0.1   0.02 -0.04]
+     [ 0.08  0.   -0.04]
+     [ 0.11  0.03  0.03]
+     [ 0.1  -0.    0.01]
+     [ 0.1  -0.02  0.01]
+     [ 0.07  0.02 -0.05]
+     [ 0.09  0.01 -0.03]
+     [ 0.08  0.01 -0.03]
+     [ 0.09  0.03 -0.01]]
 
 
 
@@ -417,7 +417,7 @@ IEEE Transactions on Signal Processing 64.19 (2016): 5052-5065.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.318 seconds)
+   **Total running time of the script:** (0 minutes 3.250 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
@@ -161,11 +161,11 @@ the case but the approximation is quite coarse.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8308.11 8193.17]
-      [8241.86 8252.32]]
+     [[[8237.63 8286.92]
+      [8336.44 8180.15]]
 
-     [[9589.87 9010.82]
-      [9482.99 8975.7 ]]] 
+     [[9057.33 9233.85]
+      [9068.9  8992.75]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -224,11 +224,11 @@ Again, we can look at the reconstructed tensor entries.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8210.49 8211.04]
-      [8230.17 8231.01]]
+     [[[8210.48 8210.36]
+      [8230.42 8230.47]]
 
-     [[9010.47 9011.09]
-      [9030.18 9031.06]]] 
+     [[9010.47 9010.4 ]
+      [9030.41 9030.5 ]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -296,8 +296,8 @@ First comparison option is processing time for each algorithm:
  .. code-block:: none
 
     0.04 seconds
-    0.63 seconds
-    306.00 seconds
+    0.56 seconds
+    199.95 seconds
 
 
 
@@ -331,9 +331,9 @@ In Tensorly, we provide a function to calculate Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    224.96294
-    27.300133
-    0.89485675
+    220.3588
+    3.8795087
+    1.2040633
 
 
 
@@ -397,7 +397,7 @@ Neural computation, 24(4), 1085-1105. (Link)
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (5 minutes 6.757 seconds)
+   **Total running time of the script:** (3 minutes 20.624 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
@@ -213,8 +213,8 @@ processing time:
  .. code-block:: none
 
     time for tensorly nntucker: 0.09
-    time for HALS with fista: 4.57
-    time for HALS with as: 3.67
+    time for HALS with fista: 4.55
+    time for HALS with as: 3.65
 
 
 
@@ -246,9 +246,9 @@ to compute Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    RMSE tensorly nntucker: 284.8383994380176
-    RMSE for hals with fista: 280.2514206613453
-    RMSE for hals with as: 279.52381147304976
+    RMSE tensorly nntucker: 286.4866417762188
+    RMSE for hals with fista: 281.96963702154653
+    RMSE for hals with as: 280.74724069116087
 
 
 
@@ -312,7 +312,7 @@ Neural computation, 24(4), 1085-1105.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.404 seconds)
+   **Total running time of the script:** (0 minutes 8.372 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
@@ -374,7 +374,7 @@ Visualize the components
  .. code-block:: none
 
 
-    <matplotlib.legend.Legend object at 0x7f49b1ffe6f0>
+    <matplotlib.legend.Legend object at 0x7fc17de98080>
 
 
 
@@ -436,7 +436,7 @@ A direct fitting algorithm for the PARAFAC2 model.*
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.625 seconds)
+   **Total running time of the script:** (0 minutes 7.688 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
@@ -159,7 +159,7 @@ with the lowest reconstruction error.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 214.3s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
+    It took 212.8s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
 
 
 
@@ -280,8 +280,8 @@ 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 120.7s 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 120.6s
+    It took 120.9s 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 120.8s
 
 
 
@@ -359,7 +359,7 @@ Again, we start by fitting without compression as a baseline.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 265.6s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
+    It took 263.0s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
 
 
 
@@ -413,8 +413,8 @@ Next, we fit with lossless compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with SVD compression...
-    It took 349.3s 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 349.3s
+    It took 346.0s 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 346.0s
 
 
 
@@ -475,8 +475,8 @@ Finally, we fit with lossy SVD compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with lossy SVD compression...
-    It took 114.7s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
-    Of which the compression took 12.9s and the fitting took 101.8s
+    It took 115.5s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
+    Of which the compression took 12.9s and the fitting took 102.5s
 
 
 
@@ -492,7 +492,7 @@ PARAFAC2.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (19 minutes 47.121 seconds)
+   **Total running time of the script:** (19 minutes 40.649 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 0.167 seconds)
+   **Total running time of the script:** (0 minutes 0.158 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_permute_factors.py:

diff --git a/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt b/dev/_sources/auto_examples/decomposition/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**25:17.192** total execution time for 7 files **from auto_examples/decomposition**:
+**23:24.575** total execution time for 7 files **from auto_examples/decomposition**:
 
 .. container::
 
@@ -33,23 +33,23 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_parafac2_compression.py` (``plot_parafac2_compression.py``)
-     - 19:47.121
+     - 19:40.649
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_nn_cp_hals.py` (``plot_nn_cp_hals.py``)
-     - 05:06.757
+     - 03:20.624
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_nn_tucker.py` (``plot_nn_tucker.py``)
-     - 00:08.404
+     - 00:08.372
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_parafac2.py` (``plot_parafac2.py``)
-     - 00:07.625
+     - 00:07.688
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_cp_line_search.py` (``plot_cp_line_search.py``)
-     - 00:03.801
+     - 00:03.835
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_guide_for_constrained_cp.py` (``plot_guide_for_constrained_cp.py``)
-     - 00:03.318
+     - 00:03.250
      - 0.0
    * - :ref:`sphx_glr_auto_examples_decomposition_plot_permute_factors.py` (``plot_permute_factors.py``)
-     - 00:00.167
+     - 00:00.158
      - 0.0