Update sklearn-metadata.json

source/sklearn-metadata.json

@@ -1104,7 +1104,7 @@
       },
       {
         "default": "auto",
-        "description": "If the option chosen is 'ovr', then a binary problem is fit for each\nlabel. For 'multinomial' the loss minimised is the multinomial loss fit\nacross the entire probability distribution, *even when the data is\nbinary*. 'multinomial' is unavailable when solver='liblinear'.\n'auto' selects 'ovr' if the data is binary, or if solver='liblinear',\nand otherwise selects 'multinomial'.\n\n.. versionadded:: 0.18\nStochastic Average Gradient descent solver for 'multinomial' case.\n.. versionchanged:: 0.22\nDefault changed from 'ovr' to 'auto' in 0.22.\n.. deprecated:: 1.5\n``multi_class`` was deprecated in version 1.5 and will be removed in 1.7.\nFrom then on, the recommended 'multinomial' will always be used for\n`n_classes >= 3`.\nSolvers that do not support 'multinomial' will raise an error.\nUse `sklearn.multiclass.OneVsRestClassifier(LogisticRegression())` if you\nstill want to use OvR.\n",
+        "description": "If the option chosen is 'ovr', then a binary problem is fit for each\nlabel. For 'multinomial' the loss minimised is the multinomial loss fit\nacross the entire probability distribution, *even when the data is\nbinary*. 'multinomial' is unavailable when solver='liblinear'.\n'auto' selects 'ovr' if the data is binary, or if solver='liblinear',\nand otherwise selects 'multinomial'.\n\n.. versionadded:: 0.18\nStochastic Average Gradient descent solver for 'multinomial' case.\n.. versionchanged:: 0.22\nDefault changed from 'ovr' to 'auto' in 0.22.\n.. deprecated:: 1.5\n``multi_class`` was deprecated in version 1.5 and will be removed in 1.8.\nFrom then on, the recommended 'multinomial' will always be used for\n`n_classes >= 3`.\nSolvers that do not support 'multinomial' will raise an error.\nUse `sklearn.multiclass.OneVsRestClassifier(LogisticRegression())` if you\nstill want to use OvR.\n",
         "name": "multi_class"
       },
       {
@@ -1333,7 +1333,7 @@
       },
       {
         "default": "auto",
-        "description": "If the option chosen is 'ovr', then a binary problem is fit for each\nlabel. For 'multinomial' the loss minimised is the multinomial loss fit\nacross the entire probability distribution, *even when the data is\nbinary*. 'multinomial' is unavailable when solver='liblinear'.\n'auto' selects 'ovr' if the data is binary, or if solver='liblinear',\nand otherwise selects 'multinomial'.\n\n.. versionadded:: 0.18\nStochastic Average Gradient descent solver for 'multinomial' case.\n.. versionchanged:: 0.22\nDefault changed from 'ovr' to 'auto' in 0.22.\n.. deprecated:: 1.5\n``multi_class`` was deprecated in version 1.5 and will be removed in 1.7.\nFrom then on, the recommended 'multinomial' will always be used for\n`n_classes >= 3`.\nSolvers that do not support 'multinomial' will raise an error.\nUse `sklearn.multiclass.OneVsRestClassifier(LogisticRegression())` if you\nstill want to use OvR.\n",
+        "description": "If the option chosen is 'ovr', then a binary problem is fit for each\nlabel. For 'multinomial' the loss minimised is the multinomial loss fit\nacross the entire probability distribution, *even when the data is\nbinary*. 'multinomial' is unavailable when solver='liblinear'.\n'auto' selects 'ovr' if the data is binary, or if solver='liblinear',\nand otherwise selects 'multinomial'.\n\n.. versionadded:: 0.18\nStochastic Average Gradient descent solver for 'multinomial' case.\n.. versionchanged:: 0.22\nDefault changed from 'ovr' to 'auto' in 0.22.\n.. deprecated:: 1.5\n``multi_class`` was deprecated in version 1.5 and will be removed in 1.8.\nFrom then on, the recommended 'multinomial' will always be used for\n`n_classes >= 3`.\nSolvers that do not support 'multinomial' will raise an error.\nUse `sklearn.multiclass.OneVsRestClassifier(LogisticRegression())` if you\nstill want to use OvR.\n",
         "name": "multi_class",
         "optional": true
       },