diff --git a/dev/.buildinfo b/dev/.buildinfo index 60d3e87..8fae112 100644 --- a/dev/.buildinfo +++ b/dev/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: c14c1612eb25042dc02c6d874290bb90 +config: 7a530488e94d765ace714baf3cec115d tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 2fbe5c4..c2460ff 100644 Binary files a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip and b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/dev/_downloads/343ec55e666b7130c35f6a4de928c39a/plot_visualize_bad_epochs.py b/dev/_downloads/343ec55e666b7130c35f6a4de928c39a/plot_visualize_bad_epochs.py index 2ba02a9..4d5f408 100644 --- a/dev/_downloads/343ec55e666b7130c35f6a4de928c39a/plot_visualize_bad_epochs.py +++ b/dev/_downloads/343ec55e666b7130c35f6a4de928c39a/plot_visualize_bad_epochs.py @@ -110,7 +110,7 @@ import matplotlib.patches as patches # noqa from autoreject import set_matplotlib_defaults # noqa -set_matplotlib_defaults(plt, style='seaborn-white') +set_matplotlib_defaults(plt, style='default') loss = ar.loss_['eeg'].mean(axis=-1) # losses are stored by channel type. plt.matshow(loss.T * 1e6, cmap=plt.get_cmap('viridis')) diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip index d331d64..f079f2f 100644 Binary files a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/dev/_downloads/9d3e69826a86abb695c16aa2b83fb4a2/plot_visualize_bad_epochs.ipynb b/dev/_downloads/9d3e69826a86abb695c16aa2b83fb4a2/plot_visualize_bad_epochs.ipynb index d9dff48..466161d 100644 --- a/dev/_downloads/9d3e69826a86abb695c16aa2b83fb4a2/plot_visualize_bad_epochs.ipynb +++ b/dev/_downloads/9d3e69826a86abb695c16aa2b83fb4a2/plot_visualize_bad_epochs.ipynb @@ -130,7 +130,7 @@ }, "outputs": [], "source": [ - "import numpy as np # noqa\nimport matplotlib.pyplot as plt # noqa\nimport matplotlib.patches as patches # noqa\nfrom autoreject import set_matplotlib_defaults # noqa\n\nset_matplotlib_defaults(plt, style='seaborn-white')\nloss = ar.loss_['eeg'].mean(axis=-1) # losses are stored by channel type.\n\nplt.matshow(loss.T * 1e6, cmap=plt.get_cmap('viridis'))\nplt.xticks(range(len(ar.consensus)), ['%.1f' % c for c in ar.consensus])\nplt.yticks(range(len(ar.n_interpolate)), ar.n_interpolate)\n\n# Draw rectangle at location of best parameters\nax = plt.gca()\nidx, jdx = np.unravel_index(loss.argmin(), loss.shape)\nrect = patches.Rectangle((idx - 0.5, jdx - 0.5), 1, 1, linewidth=2,\n edgecolor='r', facecolor='none')\nax.add_patch(rect)\nax.xaxis.set_ticks_position('bottom')\nplt.xlabel(r'Consensus percentage $\\kappa$')\nplt.ylabel(r'Max sensors interpolated $\\rho$')\nplt.title('Mean cross validation error (x 1e6)')\nplt.colorbar()\nplt.show()" + "import numpy as np # noqa\nimport matplotlib.pyplot as plt # noqa\nimport matplotlib.patches as patches # noqa\nfrom autoreject import set_matplotlib_defaults # noqa\n\nset_matplotlib_defaults(plt, style='default')\nloss = ar.loss_['eeg'].mean(axis=-1) # losses are stored by channel type.\n\nplt.matshow(loss.T * 1e6, cmap=plt.get_cmap('viridis'))\nplt.xticks(range(len(ar.consensus)), ['%.1f' % c for c in ar.consensus])\nplt.yticks(range(len(ar.n_interpolate)), ar.n_interpolate)\n\n# Draw rectangle at location of best parameters\nax = plt.gca()\nidx, jdx = np.unravel_index(loss.argmin(), loss.shape)\nrect = patches.Rectangle((idx - 0.5, jdx - 0.5), 1, 1, linewidth=2,\n edgecolor='r', facecolor='none')\nax.add_patch(rect)\nax.xaxis.set_ticks_position('bottom')\nplt.xlabel(r'Consensus percentage $\\kappa$')\nplt.ylabel(r'Max sensors interpolated $\\rho$')\nplt.title('Mean cross validation error (x 1e6)')\nplt.colorbar()\nplt.show()" ] }, { diff --git a/dev/_images/sphx_glr_plot_auto_repair_001.png b/dev/_images/sphx_glr_plot_auto_repair_001.png index bbaa7c8..efc5023 100644 Binary files a/dev/_images/sphx_glr_plot_auto_repair_001.png and b/dev/_images/sphx_glr_plot_auto_repair_001.png differ diff --git a/dev/_images/sphx_glr_plot_auto_repair_002.png b/dev/_images/sphx_glr_plot_auto_repair_002.png index 6c800a2..0939eba 100644 Binary files a/dev/_images/sphx_glr_plot_auto_repair_002.png and b/dev/_images/sphx_glr_plot_auto_repair_002.png differ diff --git a/dev/_images/sphx_glr_plot_autoreject_workflow_001.png b/dev/_images/sphx_glr_plot_autoreject_workflow_001.png index 8a91745..15c364e 100644 Binary files a/dev/_images/sphx_glr_plot_autoreject_workflow_001.png and b/dev/_images/sphx_glr_plot_autoreject_workflow_001.png differ diff --git a/dev/_images/sphx_glr_plot_autoreject_workflow_002.png b/dev/_images/sphx_glr_plot_autoreject_workflow_002.png index 9b2db04..4977f9c 100644 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+ + + + + -