[ML] Data Frame Analytics results: ensure model evaluation stats are …

…shown (#97486)

* ensure we check for NaN and Infinity in eval response

* add unit test

x-pack/plugins/ml/public/application/data_frame_analytics/common/analytics.test.ts

@@ -5,7 +5,7 @@
  * 2.0.
  */
 
-import { getAnalysisType, isOutlierAnalysis } from './analytics';
+import { getAnalysisType, getValuesFromResponse, isOutlierAnalysis } from './analytics';
 
 describe('Data Frame Analytics: Analytics utils', () => {
   test('getAnalysisType()', () => {
@@ -35,4 +35,22 @@ describe('Data Frame Analytics: Analytics utils', () => {
     const unknownAnalysis = { outlier_detection: {}, regression: {} };
     expect(isOutlierAnalysis(unknownAnalysis)).toBe(false);
   });
+
+  test('getValuesFromResponse()', () => {
+    const evalResponse: any = {
+      regression: {
+        huber: { value: 'NaN' },
+        mse: { value: 7.514953437693147 },
+        msle: { value: 'Infinity' },
+        r_squared: { value: 0.9837343227799651 },
+      },
+    };
+    const expectedResponse = {
+      mse: 7.51,
+      msle: 'Infinity',
+      huber: 'NaN',
+      r_squared: 0.984,
+    };
+    expect(getValuesFromResponse(evalResponse)).toEqual(expectedResponse);
+  });
 });

x-pack/plugins/ml/public/application/data_frame_analytics/common/analytics.ts

@@ -366,7 +366,7 @@ export function getValuesFromResponse(response: RegressionEvaluateResponse) {
       if (response.regression.hasOwnProperty(statType)) {
         let currentStatValue =
           response.regression[statType as keyof RegressionEvaluateResponse['regression']]?.value;
-        if (currentStatValue && !isNaN(currentStatValue)) {
+        if (currentStatValue && Number.isFinite(currentStatValue)) {
           currentStatValue = Number(currentStatValue.toPrecision(DEFAULT_SIG_FIGS));
         }
         results[statType as keyof RegressionEvaluateExtractedResponse] = currentStatValue;