MDS/openide
1
0
Fork 0
mirror of https://gitflic.ru/project/openide/openide.git synced 2026-09-27 10:03:11 +07:00
Code Issues Packages Projects Releases Wiki Activity

[llm-vcs-grouped-diff, aia-eval] Draft of the evaluation for AI Diff

Browse Source 
GitOrigin-RevId: dd0a53e08791ef70ec66de528a7474bbc096784b
This commit is contained in:
Dmitry Osinovskiy
2025-10-01 01:57:56 +00:00
committed by intellij-monorepo-bot
parent ee50a4a6b8
commit 67371290eb
1 changed files with 56 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
plugins/evaluation-plugin/core/src/com/intellij/cce/metric/ClusterMetricConstants.kt
+56
View File
@@ -0,0 +1,56 @@
package com.intellij.cce.metric
import com.intellij.cce.evaluation.data.DataPlacement
import com.intellij.cce.evaluation.data.DataRenderer
import com.intellij.cce.evaluation.data.EvalDataDescription
import com.intellij.cce.evaluation.data.EvalDataPresentation
import com.intellij.cce.evaluation.data.PresentationCategory
import com.intellij.cce.evaluation.data.TrivialEvalData
object ClusterMetricConstants {
const val AIA_HOMOGENEITY_SCORE_KEY: String = "homogeneity_score"
const val AIA_COMPLETENESS_SCORE_KEY: String = "completeness_score"
const val AIA_V_MEASURE_SCORE_KEY: String = "v_measure_score"
const val AIA_ADULTERANT_SCORE_KEY: String = "adulterant_score"
val HOMOGENEITY_SCORE: TrivialEvalData<Double> = EvalDataDescription(
name = "Homogeneity score",
description = "Homogeneity score for a clusterization",
placement = DataPlacement.AdditionalDouble(AIA_HOMOGENEITY_SCORE_KEY),
presentation = EvalDataPresentation(
PresentationCategory.METRIC,
DataRenderer.InlineDouble
)
)
val COMPLETENESS_SCORE: TrivialEvalData<Double> = EvalDataDescription(
name = "Completeness score",
description = "Completeness score for a clusterization",
placement = DataPlacement.AdditionalDouble(AIA_COMPLETENESS_SCORE_KEY),
presentation = EvalDataPresentation(
PresentationCategory.METRIC,
DataRenderer.InlineDouble
)
)
val V_MEASURE_SCORE: TrivialEvalData<Double> = EvalDataDescription(
name = "V-Measure score",
description = "V-Measure score for a clusterization",
placement = DataPlacement.AdditionalDouble(AIA_V_MEASURE_SCORE_KEY),
presentation = EvalDataPresentation(
PresentationCategory.METRIC,
DataRenderer.InlineDouble
)
)
val ADULTERANT_SCORE: TrivialEvalData<Double> = EvalDataDescription(
name = "Adulterant score",
description = "Adulterant score for a clusterization",
placement = DataPlacement.AdditionalDouble(AIA_ADULTERANT_SCORE_KEY),
presentation = EvalDataPresentation(
PresentationCategory.METRIC,
DataRenderer.InlineDouble
)
)
}