Fixed PLE editor text for i18n.

Replaced umberOfRepetitionsOfData with minDataCrossValidation.

Author: chrisknoll

src/main/resources/i18n/messages_en.json

@@ -859,7 +859,7 @@
         "resetAllCoefficients": "Reset all coefficients to 0 between model fits under cross-validation:",
         "sizeMultiplier": "Size multiplier for active set:",
         "startingVariance": "Starting variance for auto-search cross-validation; -1 = use estimate based on data:",
-        "umberOfRepetitionsOfData": "Number of repetitions of data for cross validation:",
+        "minDataCrossValidation": "Minimum amount of data required for cross-validation:",
         "upperPrior": "Upper prior variance limit:",
         "useTheKarush": "Use the Karush-Kuhn-Tucker conditions to limit search:"
       },

src/main/resources/i18n/messages_ko.json

@@ -810,7 +810,7 @@
         "resetAllCoefficients": "교차 검증 시 모델 적합 간에 모든 계수를 0으로 재설정합니다.",
         "sizeMultiplier": "엑티브 세트(active set)의 사이즈 배율(Size multiplier) :",
         "startingVariance": "자동 검색 교차 검증을 위한 시작 분산; -1 = 데이터 기반의 추정치를 사용합니다:",
-        "umberOfRepetitionsOfData": "교차 검증을 위한 데이터의 반복 횟수:",
+        "minDataCrossValidation": "Minimum amount of data required for cross-validation:",
         "upperPrior": "이전 분산 상한치(Upper prior variance limit) :",
         "useTheKarush": "Karush-Kuhn-Tucker conditions 을 사용하여 검색을 제한합니다:"
       },

src/main/resources/i18n/messages_ru.json

@@ -1022,7 +1022,7 @@
         "numberOfSteps": "Количество шагов:",
         "numberOfRandomFolds": "Количество случайных сгибов для перекрестной проверки:",
         "numberOfRepetitions": "Количество повторений <%=num%>-кратной перекрестной проверки:",
-        "umberOfRepetitionsOfData": "Количество повторений данных для перекрестной проверки:",
+        "minDataCrossValidation": "Minimum amount of data required for cross-validation:",
         "noiseLevel": "Уровень шума при выводе экрана Cyclops:",
         "resetAllCoefficients": "Сброс всех коэффициентов до 0 между подгонками модели при перекрестной проверке:",
         "startingVariance": "Начальная дисперсия для автоматического поиска перекрестной проверки; -1 = использовать оценку на основе данных:",

src/main/resources/i18n/messages_zh.json

@@ -859,7 +859,7 @@
         "resetAllCoefficients": "在交叉验证下，将模型拟合之间的所有系数重置为0：",
         "sizeMultiplier": "活动集合的大小乘数：",
         "startingVariance": "自动搜索交叉验证的起始差异； -1 =使用基于数据的估算值：",
-        "umberOfRepetitionsOfData": "交叉验证的数据重复次数：",
+        "minDataCrossValidation": "Minimum amount of data required for cross-validation:",
         "upperPrior": "先验差异上限：",
         "useTheKarush": "使用Karush-Kuhn-Tucker条件限制搜索范围："
       },