Update sklearn-metadata.json

source/sklearn-metadata.json

@@ -1952,7 +1952,7 @@
       },
       {
         "default": "rbf",
-        "description": "Specifies the kernel type to be used in the algorithm.\nIt must be one of 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed' or\na callable.\nIf none is given, 'rbf' will be used. If a callable is given it is\nused to pre-compute the kernel matrix from data matrices; that matrix\nshould be an array of shape ``(n_samples, n_samples)``.\n",
+        "description": "Specifies the kernel type to be used in the algorithm.\nIf none is given, 'rbf' will be used. If a callable is given it is\nused to pre-compute the kernel matrix from data matrices; that matrix\nshould be an array of shape ``(n_samples, n_samples)``.\n",
         "name": "kernel",
         "option": "optional",
         "type": "string"
@@ -2059,7 +2059,7 @@
       },
       {
         "default": "rbf",
-        "description": "Specifies the kernel type to be used in the algorithm.\nIt must be one of 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed' or\na callable.\nIf none is given, 'rbf' will be used. If a callable is given it is\nused to pre-compute the kernel matrix from data matrices; that matrix\nshould be an array of shape ``(n_samples, n_samples)``.\n",
+        "description": "Specifies the kernel type to be used in the algorithm.\nIf none is given, 'rbf' will be used. If a callable is given it is\nused to pre-compute the kernel matrix from data matrices; that matrix\nshould be an array of shape ``(n_samples, n_samples)``.\n",
         "name": "kernel",
         "option": "optional",
         "type": "string"