[ML] DFAnalytics results: ensure ml result fields are shown in data grid #68305
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alvarezmelissa87
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:ml
Feature:Data Frame Analytics
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Pinging @elastic/ml-ui (:ml) |
| @@ -110,7 +111,10 @@ export const getDataGridSchemasFromFieldTypes = (fieldTypes: FieldTypes, results | |||
| schema = 'numeric'; | |||
| } | |||
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| if (field.includes(`${resultsField}.${FEATURE_IMPORTANCE}`)) { | |||
| if ( | |||
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Is it possible to remove the ml.top_classes and ml.feature_importance leaf node fields from the data grid column picker modal e.g. ml.top_classes.class_name? Ideally we shouldn't let the user select the leaf nodes for display in the table as those columns will be blank:
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…rid (elastic#68305) * wip: ensure top classes and influencer result col show up correctly * ensure ml subFields columns are populated
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…rid (elastic#68305) * wip: ensure top classes and influencer result col show up correctly * ensure ml subFields columns are populated
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* master: [ML] DFAnalytics results: ensure ml result fields are shown in data grid (elastic#68305) [security_solution] enable react-hooks/exhaustive-deps (elastic#68470) Closes elastic#66867 by adding missing, requried API params (elastic#68465) [Telemetry] collect number of visualization saved in the past 7, 30 and 90 days (elastic#67865) [Logs UI] View in context tweaks (elastic#67777) Kibana developer examples landing page (elastic#67049) Bump decompress package version (elastic#68386) fix elastic#66185 (elastic#66186) Bump pdfmake package version (elastic#68395) Unskip embeddables/adding_children suite (elastic#68111) Add embed mode options in the Share UI (elastic#58435) Adding key to avoid react warning (elastic#68491)
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Summary
This PR fixes the issue of seeing blank
mlsubfield columns.ml.feature_importanceandml.top_classesare arrays of objects. The fields API used to create the columns incorrectly returns a path likeml.top_classes.class_namereferencing theclass_nameproperty in the object in the array. This leads to blank column values as dot paths can only be in nested objects.This PR fixes the issue by adding a
ml.top_classescolumn and correctly displaying the array of objects as the values. It also hides the blank path columns by default.This PR also ensures
ml.feature_importancecolumn shows up correctly.ml.top_classesml.feature_importanceChecklist
Delete any items that are not applicable to this PR.