@@ -43,7 +43,7 @@ public static class PermutationFeatureImportanceExtensions
43
43
/// <example>
44
44
/// <format type="text/markdown">
45
45
/// <]
46
+ /// [!code-csharp[PFI](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/PermutationFeatureImportance/PFIRegressionExample .cs)]
47
47
/// ]]>
48
48
/// </format>
49
49
/// </example>
@@ -120,7 +120,7 @@ private static RegressionMetrics RegressionDelta(
120
120
/// <example>
121
121
/// <format type="text/markdown">
122
122
/// <]
123
+ /// [!code-csharp[PFI](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/PermutationFeatureImportance/PfiBinaryClassificationExample .cs)]
124
124
/// ]]>
125
125
/// </format>
126
126
/// </example>
@@ -198,13 +198,6 @@ private static BinaryClassificationMetrics BinaryClassifierDelta(
198
198
/// example of working with these results to analyze the feature importance of a model.
199
199
/// </para>
200
200
/// </remarks>
201
- /// <example>
202
- /// <format type="text/markdown">
203
- /// <]
205
- /// ]]>
206
- /// </format>
207
- /// </example>
208
201
/// <param name="ctx">The clustering context.</param>
209
202
/// <param name="model">The model to evaluate.</param>
210
203
/// <param name="data">The evaluation data set.</param>
@@ -284,13 +277,6 @@ private static MultiClassClassifierMetrics MulticlassClassificationDelta(
284
277
/// example of working with these results to analyze the feature importance of a model.
285
278
/// </para>
286
279
/// </remarks>
287
- /// <example>
288
- /// <format type="text/markdown">
289
- /// <]
291
- /// ]]>
292
- /// </format>
293
- /// </example>
294
280
/// <param name="ctx">The clustering context.</param>
295
281
/// <param name="model">The model to evaluate.</param>
296
282
/// <param name="data">The evaluation data set.</param>
0 commit comments