From 32a711e54314f9ef7cff8b9b6736ee2693549d90 Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Wed, 22 Jan 2025 00:14:49 +0000 Subject: [PATCH 1/9] [ci skip] 35965170612 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12898326371/job/35965170612 --- locale/ja/LC_MESSAGES/advanced.po | 40 +++++++++++++++---------------- locale/pot/advanced.pot | 38 ++++++++++++++--------------- scientific-python-lectures | 2 +- 3 files changed, 40 insertions(+), 40 deletions(-) diff --git a/locale/ja/LC_MESSAGES/advanced.po b/locale/ja/LC_MESSAGES/advanced.po index bbcb28f..fa82ee4 100644 --- a/locale/ja/LC_MESSAGES/advanced.po +++ b/locale/ja/LC_MESSAGES/advanced.po @@ -11,7 +11,7 @@ msgid "" msgstr "" "Project-Id-Version: Scientific Python Lectures 2024.2rc0.dev0\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2025-01-01 00:13+0000\n" +"POT-Creation-Date: 2025-01-22 00:12+0000\n" "PO-Revision-Date: 2024-11-27 19:15+0000\n" "Last-Translator: Tetsuo Koyama , 2025\n" "Language-Team: Japanese (https://app.transifex.com/tkoyama010/teams/202028/ja/)\n" @@ -5278,7 +5278,7 @@ msgstr "" #: ../../scientific-python-lectures/advanced/image_processing/index.rst:891 #: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:544 -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1028 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1027 msgid "Full code examples" msgstr "" @@ -6473,7 +6473,7 @@ msgid "" msgstr "" #: ../../scientific-python-lectures/advanced/mathematical_optimization/auto_examples/plot_curve_fitting.rst:22 -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:916 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:915 msgid "Curve fitting" msgstr "" @@ -6674,7 +6674,7 @@ msgid "" msgstr "" #: ../../scientific-python-lectures/advanced/mathematical_optimization/auto_examples/plot_non_bounds_constraints.rst:22 -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:947 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:946 msgid "Optimization with constraints" msgstr "" @@ -7876,28 +7876,28 @@ msgstr "" #: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:892 msgid "" -"This took 67 function evaluations (check it with 'full_output=1'). What if " -"we compute the norm ourselves and use a good generic optimizer (BFGS)::" +"This took 67 function evaluations (check it with 'full_output=True'). What " +"if we compute the norm ourselves and use a good generic optimizer (BFGS)::" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:902 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:901 msgid "BFGS needs more function calls, and gives a less precise result." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:906 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:905 msgid "" "`leastsq` is interesting compared to BFGS only if the dimensionality of the " "output vector is large, and larger than the number of parameters to " "optimize." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:912 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:911 msgid "" "If the function is linear, this is a linear-algebra problem, and should be " "solved with :func:`scipy.linalg.lstsq`." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:923 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:922 msgid "" "Least square problems occur often when fitting a non-linear to data. While " "it is possible to construct our optimization problem ourselves, SciPy " @@ -7905,15 +7905,15 @@ msgid "" ":func:`scipy.optimize.curve_fit`::" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:944 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:943 msgid "Do the same with omega = 3. What is the difficulty?" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:950 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:949 msgid "Box bounds" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:952 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:951 msgid "" "Box bounds correspond to limiting each of the individual parameters of the " "optimization. Note that some problems that are not originally written as box" @@ -7922,23 +7922,23 @@ msgid "" "support bound constraints with the parameter ``bounds``::" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:979 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:978 msgid "General constraints" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:981 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:980 msgid "" "Equality and inequality constraints specified as functions: :math:`f(x) = 0`" " and :math:`g(x) < 0`." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:984 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:983 msgid "" ":func:`scipy.optimize.fmin_slsqp` Sequential least square programming: " "equality and inequality constraints:" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1014 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1013 msgid "" "The above problem is known as the `Lasso " "`_ problem in statistics, " @@ -7951,7 +7951,7 @@ msgstr "" msgid "**Lagrange multipliers**" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1022 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1021 msgid "" "If you are ready to do a bit of math, many constrained optimization problems" " can be converted to non-constrained optimization problems using a " @@ -7959,11 +7959,11 @@ msgid "" "`_." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1036 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1035 msgid "**Other Software**" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1038 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1037 msgid "" "SciPy tries to include the best well-established, general-use, and " "permissively-licensed optimization algorithms available. However, even " diff --git a/locale/pot/advanced.pot b/locale/pot/advanced.pot index 677afac..1fb4eea 100644 --- a/locale/pot/advanced.pot +++ b/locale/pot/advanced.pot @@ -8,7 +8,7 @@ msgid "" msgstr "" "Project-Id-Version: Scientific Python Lectures 2024.2rc0.dev0\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2025-01-01 00:13+0000\n" +"POT-Creation-Date: 2025-01-22 00:12+0000\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" @@ -4224,7 +4224,7 @@ msgstr "" #: ../../scientific-python-lectures/advanced/image_processing/index.rst:891 #: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:544 -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1028 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1027 msgid "Full code examples" msgstr "" @@ -5094,7 +5094,7 @@ msgid ":ref:`Go to the end `_ problem in statistics, and there exist very efficient solvers for it (for instance in `scikit-learn `_). In general do not use generic solvers when specific ones exist." msgstr "" @@ -6289,15 +6289,15 @@ msgstr "" msgid "**Lagrange multipliers**" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1022 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1021 msgid "If you are ready to do a bit of math, many constrained optimization problems can be converted to non-constrained optimization problems using a mathematical trick known as `Lagrange multipliers `_." msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1036 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1035 msgid "**Other Software**" msgstr "" -#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1038 +#: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1037 msgid "SciPy tries to include the best well-established, general-use, and permissively-licensed optimization algorithms available. However, even better options for a given task may be available in other libraries; please also see IPOPT_ and PyGMO_." msgstr "" diff --git a/scientific-python-lectures b/scientific-python-lectures index 6ed096d..d833058 160000 --- a/scientific-python-lectures +++ b/scientific-python-lectures @@ -1 +1 @@ -Subproject commit 6ed096db84a73782a34b8fee49ddd06764a3d836 +Subproject commit d833058a76130ab91a8e8107f75fcb0d2b80fa16 From 31648c0227adc102c15c73f5f17eaf631b81886d Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Thu, 23 Jan 2025 00:14:25 +0000 Subject: [PATCH 2/9] [ci skip] 36029994935 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12919453456/job/36029994935 From aa2c8a085076a3b9a8e386bc8e3beb3984a6bc84 Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Fri, 24 Jan 2025 00:14:21 +0000 Subject: [PATCH 3/9] [ci skip] 36094855690 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12940503371/job/36094855690 --- locale/ja/LC_MESSAGES/intro.po | 12 ++++++------ locale/pot/intro.pot | 10 +++++----- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/locale/ja/LC_MESSAGES/intro.po b/locale/ja/LC_MESSAGES/intro.po index aea0fd8..cbe2a95 100644 --- a/locale/ja/LC_MESSAGES/intro.po +++ b/locale/ja/LC_MESSAGES/intro.po @@ -11,7 +11,7 @@ msgid "" msgstr "" "Project-Id-Version: Scientific Python Lectures 2024.2rc0.dev0\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2025-01-01 00:13+0000\n" +"POT-Creation-Date: 2025-01-24 00:12+0000\n" "PO-Revision-Date: 2024-11-27 19:15+0000\n" "Last-Translator: Tetsuo Koyama , 2025\n" "Language-Team: Japanese (https://app.transifex.com/tkoyama010/teams/202028/ja/)\n" @@ -3320,13 +3320,13 @@ msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:113 #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:114 -msgid "" -":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_subplot-vertical.py`" +msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_bad.py`" msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:130 #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:131 -msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_bad.py`" +msgid "" +":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_subplot-vertical.py`" msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:147 @@ -11592,13 +11592,13 @@ msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:23 msgid "" ":ref:`sphx_glr_intro_scipy_summary-" -"exercises_auto_examples_plot_optimize_lidar_complex_data.py`" +"exercises_auto_examples_plot_optimize_lidar_data.py`" msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:40 msgid "" ":ref:`sphx_glr_intro_scipy_summary-" -"exercises_auto_examples_plot_optimize_lidar_data.py`" +"exercises_auto_examples_plot_optimize_lidar_complex_data.py`" msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:57 diff --git a/locale/pot/intro.pot b/locale/pot/intro.pot index d1fac28..d411efe 100644 --- a/locale/pot/intro.pot +++ b/locale/pot/intro.pot @@ -8,7 +8,7 @@ msgid "" msgstr "" "Project-Id-Version: Scientific Python Lectures 2024.2rc0.dev0\n" "Report-Msgid-Bugs-To: \n" -"POT-Creation-Date: 2025-01-01 00:13+0000\n" +"POT-Creation-Date: 2025-01-24 00:12+0000\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" @@ -2659,12 +2659,12 @@ msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:113 #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:114 -msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_subplot-vertical.py`" +msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_bad.py`" msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:130 #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:131 -msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_bad.py`" +msgid ":ref:`sphx_glr_intro_matplotlib_auto_examples_plot_subplot-vertical.py`" msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/auto_examples/index.rst:147 @@ -9349,11 +9349,11 @@ msgid "Examples for the summary excercices" msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:23 -msgid ":ref:`sphx_glr_intro_scipy_summary-exercises_auto_examples_plot_optimize_lidar_complex_data.py`" +msgid ":ref:`sphx_glr_intro_scipy_summary-exercises_auto_examples_plot_optimize_lidar_data.py`" msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:40 -msgid ":ref:`sphx_glr_intro_scipy_summary-exercises_auto_examples_plot_optimize_lidar_data.py`" +msgid ":ref:`sphx_glr_intro_scipy_summary-exercises_auto_examples_plot_optimize_lidar_complex_data.py`" msgstr "" #: ../../scientific-python-lectures/intro/scipy/summary-exercises/auto_examples/index.rst:57 From eece63c9d12611a4e8023e15f8355e43ce4f3df3 Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Sat, 25 Jan 2025 00:14:00 +0000 Subject: [PATCH 4/9] [ci skip] 36152480362 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12959737384/job/36152480362 From ff47a6a8eecbb9b88224354074251dad454eabea Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Sun, 26 Jan 2025 00:14:53 +0000 Subject: [PATCH 5/9] [ci skip] 36173816428 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12969595130/job/36173816428 From cb36697aab367c2da24fff5b8e9d8bc5b7a1c59b Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Mon, 27 Jan 2025 00:14:54 +0000 Subject: [PATCH 6/9] [ci skip] 36195531658 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12979605807/job/36195531658 --- locale/ja/LC_MESSAGES/advanced.po | 4 +- locale/ja/LC_MESSAGES/intro.po | 2 +- locale/ja/LC_MESSAGES/packages.po | 226 +++++++++++++++++------------- 3 files changed, 132 insertions(+), 100 deletions(-) diff --git a/locale/ja/LC_MESSAGES/advanced.po b/locale/ja/LC_MESSAGES/advanced.po index fa82ee4..886ce5f 100644 --- a/locale/ja/LC_MESSAGES/advanced.po +++ b/locale/ja/LC_MESSAGES/advanced.po @@ -5111,7 +5111,7 @@ msgstr "" #: ../../scientific-python-lectures/advanced/image_processing/index.rst:574 #: ../../scientific-python-lectures/advanced/image_processing/index.rst:727 msgid "Synthetic data::" -msgstr "" +msgstr "合成データ::" #: ../../scientific-python-lectures/advanced/image_processing/index.rst:582 msgid "" @@ -5280,7 +5280,7 @@ msgstr "" #: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:544 #: ../../scientific-python-lectures/advanced/mathematical_optimization/index.rst:1027 msgid "Full code examples" -msgstr "" +msgstr "全コード例" #: ../../scientific-python-lectures/advanced/image_processing/index.rst:902 msgid "More on image-processing:" diff --git a/locale/ja/LC_MESSAGES/intro.po b/locale/ja/LC_MESSAGES/intro.po index cbe2a95..125dc98 100644 --- a/locale/ja/LC_MESSAGES/intro.po +++ b/locale/ja/LC_MESSAGES/intro.po @@ -6640,7 +6640,7 @@ msgstr "" #: ../../scientific-python-lectures/intro/matplotlib/index.rst:1259 #: ../../scientific-python-lectures/intro/numpy/gallery.rst:2 msgid "Full code examples" -msgstr "" +msgstr "全コード例" #: ../../scientific-python-lectures/intro/numpy/advanced_operations.rst:13 msgid "Advanced operations" diff --git a/locale/ja/LC_MESSAGES/packages.po b/locale/ja/LC_MESSAGES/packages.po index 126fd6d..ad97e45 100644 --- a/locale/ja/LC_MESSAGES/packages.po +++ b/locale/ja/LC_MESSAGES/packages.po @@ -975,7 +975,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:122 msgid ":mod:`color`" -msgstr "" +msgstr ":mod:`color`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:123 msgid "Color space conversion." @@ -983,7 +983,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:125 msgid ":mod:`data`" -msgstr "" +msgstr ":mod:`data`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:126 msgid "Test images and example data." @@ -991,7 +991,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:128 msgid ":mod:`draw`" -msgstr "" +msgstr ":mod:`draw`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:129 msgid "Drawing primitives (lines, text, etc.) that operate on NumPy arrays." @@ -999,7 +999,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:132 msgid ":mod:`exposure`" -msgstr "" +msgstr ":mod:`exposure`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:133 msgid "Image intensity adjustment, e.g., histogram equalization, etc." @@ -1007,7 +1007,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:135 msgid ":mod:`feature`" -msgstr "" +msgstr ":mod:`feature`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:136 msgid "Feature detection and extraction, e.g., texture analysis corners, etc." @@ -1015,7 +1015,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:138 msgid ":mod:`filters`" -msgstr "" +msgstr ":mod:`filters`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:139 msgid "Sharpening, edge finding, rank filters, thresholding, etc." @@ -1023,7 +1023,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:141 msgid ":mod:`graph`" -msgstr "" +msgstr ":mod:`graph`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:142 msgid "Graph-theoretic operations, e.g., shortest paths." @@ -1031,7 +1031,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:144 msgid ":mod:`io`" -msgstr "" +msgstr ":mod:`io`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:145 msgid "Reading, saving, and displaying images and video." @@ -1039,7 +1039,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:147 msgid ":mod:`measure`" -msgstr "" +msgstr ":mod:`measure`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:148 msgid "Measurement of image properties, e.g., region properties and contours." @@ -1047,7 +1047,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:150 msgid ":mod:`metrics`" -msgstr "" +msgstr ":mod:`metrics`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:151 msgid "" @@ -1056,7 +1056,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:153 msgid ":mod:`morphology`" -msgstr "" +msgstr ":mod:`morphology`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:154 msgid "Morphological operations, e.g., opening or skeletonization." @@ -1064,7 +1064,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:156 msgid ":mod:`restoration`" -msgstr "" +msgstr ":mod:`restoration`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:157 msgid "" @@ -1073,7 +1073,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:159 msgid ":mod:`segmentation`" -msgstr "" +msgstr ":mod:`segmentation`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:160 msgid "Partitioning an image into multiple regions." @@ -1081,7 +1081,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:162 msgid ":mod:`transform`" -msgstr "" +msgstr ":mod:`transform`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:163 msgid "Geometric and other transforms, e.g., rotation or the Radon transform." @@ -1089,7 +1089,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:165 msgid ":mod:`util`" -msgstr "" +msgstr ":mod:`util`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:166 msgid "Generic utilities." @@ -1128,7 +1128,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:221 msgid ":mod:`skimage.data` ::" -msgstr "" +msgstr ":mod:`skimage.data` ::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:228 msgid "Input/output, data types and colorspaces" @@ -1136,7 +1136,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:230 msgid "I/O: :mod:`skimage.io`" -msgstr "" +msgstr "I/O: :mod:`skimage.io`" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:232 msgid "Save an image to disk: :func:`skimage.io.imsave` ::" @@ -1168,7 +1168,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:264 msgid "Careful with overflows with integer data types" -msgstr "" +msgstr "整数データ型でのオーバーフローに注意してください" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:273 msgid "" @@ -1351,12 +1351,14 @@ msgid "" "grayscale images (int or float type). Erosion and dilation correspond to " "minimum (resp. maximum) filters." msgstr "" +"数理形態学演算は、 (2値でない) グレースケール画像 (int型またはfloat型) でも利用できます。 erosionとdilationは最小 " +"(あるいは最大) フィルタに対応します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:486 msgid "" "Higher-level mathematical morphology are available: tophat, skeletonization," " etc." -msgstr "" +msgstr "より高度な数学的形態学が利用できます: tophat、skeletonizationなど。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:491 msgid "" @@ -1364,14 +1366,16 @@ msgid "" ":mod:`scipy.ndimage.morphology`. The ``scipy.ndimage`` implementation works " "on arbitrary-dimensional arrays." msgstr "" +"基本的な数理形態学は :mod:`scipy.ndimage.morphology` にも実装されています。 " +"``scipy.ndimage``の実装は任意の次元の配列に対して動作します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:391 msgid "Example of filters comparison: image denoising" -msgstr "" +msgstr "フィルターの比較例: 画像のノイズ除去" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:516 msgid "Image segmentation" -msgstr "" +msgstr "画像分割" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:518 msgid "" @@ -1379,14 +1383,15 @@ msgid "" "regions of the image, for example in order to extract the pixels of an " "object of interest." msgstr "" +"画像セグメンテーションとは、画像の異なる領域に異なるラベルを付けることであり、例えば、関心のあるオブジェクトのピクセルを抽出するために行われます。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:523 msgid "Binary segmentation: foreground + background" -msgstr "" +msgstr "バイナリセグメンテーション: 前景＋背景" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:526 msgid "Histogram-based method: **Otsu thresholding**" -msgstr "" +msgstr "ヒストグラムに基づく方法: **Otsu thresholding**" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:530 msgid "" @@ -1394,68 +1399,74 @@ msgid "" "simple heuristic to find a threshold to separate the foreground from the " "background." msgstr "" +"`Otsu method `_ " +"は、前景と背景を分離する閾値を見つけるための単純なヒューリスティックである。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst-1 msgid "Earlier scikit-image versions" -msgstr "" +msgstr "以前の scikit-image バージョン" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:536 msgid "" ":mod:`skimage.filters` is called :mod:`skimage.filter` in earlier versions " "of scikit-image" msgstr "" +":mod:`skimage.filters` は、以前のバージョンの scikit-image では :mod:`skimage.filter` " +"と呼ばれていた。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:551 msgid "Labeling connected components of a discrete image" -msgstr "" +msgstr "離散画像の連結成分にラベルを付ける" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:555 msgid "" "Once you have separated foreground objects, it is use to separate them from " "each other. For this, we can assign a different integer labels to each one." -msgstr "" +msgstr "前景オブジェクトを分離したら、それらを互いに分離するのに使います。 そのために、それぞれに異なる整数ラベルを割り当てることができます。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:559 msgid "Synthetic data::" -msgstr "" +msgstr "合成データ::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:570 msgid "Label all connected components::" -msgstr "" +msgstr "接続されているすべてのコンポーネントにラベルを貼ります::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:574 msgid "Label only foreground connected components::" -msgstr "" +msgstr "接続されているすべての前景コンポーネントにラベルを貼ります::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:586 msgid "" ":func:`scipy.ndimage.find_objects` is useful to return slices on object in " "an image." -msgstr "" +msgstr ":func:`scipy.ndimage.find_objects` は、画像内のオブジェクトのスライスを返すのに便利です。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:590 msgid "Marker based methods" -msgstr "" +msgstr "マーカーに基づく方法" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:592 msgid "" "If you have markers inside a set of regions, you can use these to segment " "the regions." -msgstr "" +msgstr "リージョンのセットの中にマーカーがあれば、それを使ってリージョンを分割することができます。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:596 msgid "*Watershed* segmentation" -msgstr "" +msgstr "*Watershed* セグメンテーション" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:598 msgid "" "The Watershed (:func:`skimage.segmentation.watershed`) is a region-growing " "approach that fills \"basins\" in the image ::" msgstr "" +"Watershed (:func:`skimage.segmentation.watershed`) は、画像の \"basins \" " +"を埋める領域拡大アプローチです ::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:624 msgid "*Random walker* segmentation" -msgstr "" +msgstr "*ランダムウォーカー* セグメンテーション" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:626 msgid "" @@ -1463,10 +1474,12 @@ msgid "" "similar to the Watershed, but with a more \"probabilistic\" approach. It is " "based on the idea of the diffusion of labels in the image::" msgstr "" +"ランダムウォーカーアルゴリズム (:func:`skimage.segmentation.random_walker`) " +"はWatershedに似ていますが、より \"確率的\" なアプローチです。 画像内のラベルの拡散という考えに基づいています::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst-1 msgid "Postprocessing label images" -msgstr "" +msgstr "ラベル画像の後処理" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:643 msgid "" @@ -1477,10 +1490,14 @@ msgid "" ":func:`skimage.segmentation.relabel_from_one`, " ":func:`skimage.morphology.remove_small_objects`, etc." msgstr "" +"skimage`` はラベル画像 (つまり、異なる離散値が異なる領域を識別する画像) に使用できるユーティリティ関数をいくつか提供しています。 " +"関数名は説明不要な場合が多いです: :func:`skimage.segmentation.clear_border`, " +":func:`skimage.segmentation.relabel_from_one`, " +":func:`skimage.morphology.remove_small_objects`, etc." #: ../../scientific-python-lectures/packages/scikit-image/index.rst:654 msgid "Load the ``coins`` image from the ``data`` submodule." -msgstr "" +msgstr "サブモジュール ``data`` から ``coins`` イメージをロードします。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:656 msgid "" @@ -1488,26 +1505,30 @@ msgid "" "methods: Otsu thresholding, adaptive thresholding, and watershed or random " "walker segmentation." msgstr "" +"いくつかのセグメンテーション方法をテストして、背景からコインを分離します: Otsu " +"thresholding、適応閾値処理、watershedセグメンテーション、ランダムウォーカーセグメンテーション。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:660 msgid "" "If necessary, use a postprocessing function to improve the coins / " "background segmentation." -msgstr "" +msgstr "必要であれば、後処理機能を使って、コイン/バックグラウンドのセグメンテーションを改善します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:665 msgid "Measuring regions' properties" -msgstr "" +msgstr "領域の特性を測定する" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:667 msgid "Example: compute the size and perimeter of the two segmented regions::" -msgstr "" +msgstr "例: 2つの分割された領域のサイズと周囲を計算します::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:677 msgid "" "for some properties, functions are available as well in " ":mod:`scipy.ndimage.measurements` with a different API (a list is returned)." msgstr "" +"プロパティによっては、別のAPIで :mod:`scipy.ndimage.measurements` に関数が用意されています (リストが返されます)" +" 。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst-1 msgid "Exercise (continued)" @@ -1516,68 +1537,70 @@ msgstr "例題 (続き)" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:685 msgid "" "Use the binary image of the coins and background from the previous exercise." -msgstr "" +msgstr "前の練習で使用したコインと背景の2値画像を使用します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:688 msgid "Compute an image of labels for the different coins." -msgstr "" +msgstr "異なるコインのラベルのイメージを計算します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:690 msgid "Compute the size and eccentricity of all coins." -msgstr "" +msgstr "すべてのコインの大きさと偏心を計算します。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:693 msgid "Data visualization and interaction" -msgstr "" +msgstr "データの可視化とインタラクション" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:695 msgid "" "Meaningful visualizations are useful when testing a given processing " "pipeline." -msgstr "" +msgstr "意味のある可視化は、与えられた処理パイプラインをテストするときに役立ちます。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:698 msgid "Some image processing operations::" -msgstr "" +msgstr "いくつかの画像処理操作::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:704 msgid "Visualize binary result::" -msgstr "" +msgstr "バイナリ結果の可視化::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:711 msgid "Visualize contour ::" -msgstr "" +msgstr "輪郭の視覚化 ::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:720 msgid "Use ``skimage`` dedicated utility function::" -msgstr "" +msgstr "専用ユーティリティ関数 ``skimage`` を使用します::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:732 msgid "Feature extraction for computer vision" -msgstr "" +msgstr "コンピュータビジョンのための特徴抽出" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:734 msgid "" "Geometric or textural descriptor can be extracted from images in order to" -msgstr "" +msgstr "幾何学的記述子やテクスチャ記述子は、以下の目的で画像から抽出することができます" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:736 msgid "classify parts of the image (e.g. sky vs. buildings)" -msgstr "" +msgstr "画像の一部を分類する (例：空と建物)" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:738 msgid "match parts of different images (e.g. for object detection)" -msgstr "" +msgstr "異なる画像の一部を一致させます (例：物体検出)" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:740 msgid "" "and many other applications of `Computer Vision " "`_" msgstr "" +"`コンピュータビジョン `_ " +"の他の多くのアプリケーション。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:743 msgid "Example: detecting corners using Harris detector ::" -msgstr "" +msgstr "例: Harris検出器によるコーナー検出::" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:765 msgid "" @@ -1585,6 +1608,9 @@ msgid "" "image.org/docs/stable/auto_examples/features_detection/plot_corner.html>`_ " "example in scikit-image)" msgstr "" +"(この例はscikit-imageの `plot_corner `_ " +"の例から引用しています)" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:769 msgid "" @@ -1593,10 +1619,13 @@ msgid "" "image.org/docs/stable/auto_examples/transform/plot_matching.html>`_ example " "of scikit-image." msgstr "" +"scikit-imageの `plot_matching `_ " +"の例で説明されているように、角のような注目点は、異なる画像内のオブジェクトをマッチングするために使用することができます。" #: ../../scientific-python-lectures/packages/scikit-image/index.rst:775 msgid "Full code examples" -msgstr "" +msgstr "全コード例" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/index.rst:3 #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/index.rst:4 @@ -1760,11 +1789,11 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_ML_flow_chart.rst:22 msgid "Tutorial Diagrams" -msgstr "" +msgstr "チュートリアルダイアグラム" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_ML_flow_chart.rst:24 msgid "This script plots the flow-charts used in the scikit-learn tutorials." -msgstr "" +msgstr "このスクリプトは scikit-learn のチュートリアルで使用されるフローチャートをプロットします。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_ML_flow_chart.rst:200 msgid "" @@ -1799,43 +1828,44 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:23 msgid "Bias and variance of polynomial fit" -msgstr "" +msgstr "多項式フィットのバイアスと分散" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:25 msgid "" "Demo overfitting, underfitting, and validation and learning curves with " "polynomial regression." -msgstr "" +msgstr "多項式回帰のオーバーフィット、アンダーフィット、検証、学習曲線のデモです。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:28 msgid "" "Fit polynomes of different degrees to a dataset: for too small a degree, the" " model *underfits*, while for too large a degree, it overfits." msgstr "" +"次数の異なる多項式をデータセットにフィットさせます。次数が小さすぎるとモデルは *アンダーフィット* し、次数が大きすぎるとオーバーフィットします。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:48 msgid "A polynomial regression" -msgstr "" +msgstr "多項回帰" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:61 msgid "A simple figure to illustrate the problem" -msgstr "" +msgstr "問題を説明するための簡単な図" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:102 msgid "Generate a larger dataset" -msgstr "" +msgstr "より大きなデータセットを作成します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:131 msgid "Plot a validation curve" -msgstr "" +msgstr "検証曲線をプロットします" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:169 msgid "Learning curves" -msgstr "" +msgstr "学習曲線" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:171 msgid "Plot train and test error with an increasing number of samples" -msgstr "" +msgstr "サンプル数の増加に伴う訓練誤差とテスト誤差のプロット" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_bias_variance.rst:214 msgid "" @@ -1871,33 +1901,33 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:22 msgid "A simple regression analysis on the California housing data" -msgstr "" +msgstr "カリフォルニア州の住宅データに対する単純回帰分析" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:24 msgid "" "Here we perform a simple regression analysis on the California housing data," " exploring two types of regressors." -msgstr "" +msgstr "ここでは，カリフォルニア州の住宅データについて，単純回帰分析を行い，2種類の回帰因子を探索します。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:39 msgid "Print a histogram of the quantity to predict: price" -msgstr "" +msgstr "予測する数量のヒストグラムを表示: 価格" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:56 msgid "Print the join histogram for each feature" -msgstr "" +msgstr "各特徴の結合ヒストグラムを表示します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:74 msgid "Simple prediction" -msgstr "" +msgstr "単純な予測をします" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:104 msgid "Prediction with gradient boosted tree" -msgstr "" +msgstr "勾配ブースティング木による予測" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:130 msgid "Print the error rate" -msgstr "" +msgstr "エラー率を表示します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_california_prediction.rst:151 msgid "" @@ -1935,13 +1965,13 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_compare_classifiers.rst:22 msgid "Compare classifiers on the digits data" -msgstr "" +msgstr "ディジットのデータで分類子を比較" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_compare_classifiers.rst:24 msgid "" "Compare the performance of a variety of classifiers on a test set for the " "digits data." -msgstr "" +msgstr "数字データのテストセットで、様々な分類器の性能を比較します。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_compare_classifiers.rst:78 msgid "" @@ -1979,53 +2009,53 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:22 msgid "Simple visualization and classification of the digits dataset" -msgstr "" +msgstr "数字データセットの簡単な視覚化と分類" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:24 msgid "" "Plot the first few samples of the digits dataset and a 2D representation " "built using PCA, then do a simple classification" -msgstr "" +msgstr "数字データセットの最初の数サンプルと、PCAを使って作成した2次元表現をプロットし、簡単な分類を行います。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:40 msgid "Plot the data: images of digits" -msgstr "" +msgstr "データのプロット: 数字の画像" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:42 msgid "Each data in a 8x8 image" -msgstr "" +msgstr "8x8画像の各データ" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:64 msgid "Plot a projection on the 2 first principal axis" -msgstr "" +msgstr "2つの第一主軸に投影図を描きます" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:85 msgid "Classify with Gaussian naive Bayes" -msgstr "" +msgstr "Gaussian naive Bayesによる分類" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:126 msgid "Quantify the performance" -msgstr "" +msgstr "パフォーマンスの定量化" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:128 msgid "First print the number of correct matches" -msgstr "" +msgstr "最初に正しいマッチの数を表示します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:139 msgid "The total number of data points" -msgstr "" +msgstr "データポイントの総数" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:149 msgid "And now, the ration of correct predictions" -msgstr "" +msgstr "そして、予想的中率です。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:160 msgid "Print the classification report" -msgstr "" +msgstr "分類レポートを表示します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:173 msgid "Print the confusion matrix" -msgstr "" +msgstr "混同行列を表示します" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_digits_simple_classif.rst:192 msgid "" @@ -2061,7 +2091,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_eigenfaces.rst:22 msgid "The eigenfaces example: chaining PCA and SVMs" -msgstr "" +msgstr "固有顔の例: PCAとSVMの連鎖" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_eigenfaces.rst:24 msgid "" @@ -2070,6 +2100,8 @@ msgid "" "didactic but lengthy way of doing things, and finishes with the idiomatic " "approach to pipelining in scikit-learn." msgstr "" +"この例のゴールは、教師なし手法と教師あり手法をどのように連鎖させればより良い予測ができるかを示すことです。 " +"教則的ですが長いやり方から始まり、scikit-learn のパイプラインへの慣用的なアプローチで終わります。" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_eigenfaces.rst:29 msgid "" @@ -2083,7 +2115,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_eigenfaces.rst:49 msgid "Let's visualize these faces to see what we're working with" -msgstr "" +msgstr "これらの顔を視覚化して、何を扱っているのかを見てみましょう" #: ../../scientific-python-lectures/packages/scikit-learn/auto_examples/plot_eigenfaces.rst:69 msgid "" @@ -3654,7 +3686,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst-1 msgid "**Question**" -msgstr "" +msgstr "**質問**" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:540 msgid "" @@ -4029,7 +4061,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1102 msgid "Hyperparameter optimization with cross-validation" -msgstr "" +msgstr "クロスバリデーションによるハイパーパラメータの最適化" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1104 msgid "" @@ -4065,7 +4097,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst-1 msgid "Question" -msgstr "" +msgstr "質問" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1154 msgid "Can we trust our results to be actually useful?" @@ -4073,7 +4105,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1157 msgid "Automatically Performing Grid Search" -msgstr "" +msgstr "自動的にグリッド検索を行う" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1159 msgid "" @@ -4212,7 +4244,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst-1 msgid "fit_transform" -msgstr "" +msgstr "fit_transform" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1335 msgid "" @@ -4243,7 +4275,7 @@ msgstr "パラメータの選択、検証、テスト" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1363 msgid "Hyperparameters, Over-fitting, and Under-fitting" -msgstr "" +msgstr "ハイパーパラメータ、オーバーフィット、アンダーフィット" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1367 msgid "" @@ -4275,7 +4307,7 @@ msgstr "" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1381 msgid "Add more training samples?" -msgstr "" +msgstr "トレーニングサンプルを増やす？" #: ../../scientific-python-lectures/packages/scikit-learn/index.rst:1383 msgid "" @@ -5446,15 +5478,15 @@ msgstr "" #: ../../scientific-python-lectures/packages/statistics/index.rst:25 msgid "`Pandas `__" -msgstr "" +msgstr "`Pandas `__" #: ../../scientific-python-lectures/packages/statistics/index.rst:27 msgid "`Statsmodels `__" -msgstr "" +msgstr "`Statsmodels `__" #: ../../scientific-python-lectures/packages/statistics/index.rst:29 msgid "`Seaborn `__" -msgstr "" +msgstr "`Seaborn `__" #: ../../scientific-python-lectures/packages/statistics/index.rst:31 msgid "" From 658ffcbf8a3a8b0c853fa52c5fae1e8653a27958 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 28 Jan 2025 06:36:55 +0900 Subject: [PATCH 7/9] [pre-commit.ci] pre-commit autoupdate (#22) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.9.2 → v0.9.3](https://github.com/astral-sh/ruff-pre-commit/compare/v0.9.2...v0.9.3) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 9214ab2..4f93de6 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -23,7 +23,7 @@ repos: - id: prettier types_or: [yaml, markdown] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.9.2 + rev: v0.9.3 hooks: - id: ruff args: [--fix, --show-fixes] From d94416895693845391b1ae513c391456fd103a87 Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Mon, 27 Jan 2025 21:40:04 +0000 Subject: [PATCH 8/9] [ci skip] 36252712966 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/12998805151/job/36252712966 From 53e7e643529f0829d843569afeb6825954c30887 Mon Sep 17 00:00:00 2001 From: tkoyama010/scientific-python-lectures-translations Date: Tue, 28 Jan 2025 00:14:52 +0000 Subject: [PATCH 9/9] [ci skip] 36259043754 https://github.com/tkoyama010/scientific-python-lectures-translations/actions/runs/13000855395/job/36259043754