Translated using Weblate (Chinese (Simplified Han script))

Currently translated at 13.1% (78 of 595 strings)

Translation: JASP/jaspMachineLearning-QML
Translate-URL: https://hosted.weblate.org/projects/jasp/jaspmachinelearning-qml/zh_Hans/

Author: armgong

po/QML-zh_Hans.po

@@ -1,9 +1,15 @@
 msgid ""
 msgstr ""
+"PO-Revision-Date: 2024-11-19 12:00+0000\n"
+"Last-Translator: Yu Gong <[email protected]>\n"
+"Language-Team: Chinese (Simplified Han script) <https://hosted.weblate.org/"
+"projects/jasp/jaspmachinelearning-qml/zh_Hans/>\n"
+"Language: zh_Hans\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=UTF-8\n"
 "Content-Transfer-Encoding: 8bit\n"
 "Plural-Forms: nplurals=1; plural=0;\n"
+"X-Generator: Weblate 5.9-dev\n"
 "X-Language: zh_Hans\n"
 "X-Qt-Contexts: true\n"
 
@@ -71,7 +77,7 @@ msgstr "线性判别分析"
 
 msgctxt "Description|"
 msgid "Linear Discriminant Classification"
-msgstr ""
+msgstr "线性判别分类"
 
 msgctxt "Description|"
 msgid "Random Forest Classification"
@@ -83,7 +89,7 @@ msgstr "聚类分析"
 
 msgctxt "Description|"
 msgid "Density-Based"
-msgstr ""
+msgstr "基于密度的"
 
 msgctxt "Description|"
 msgid "Density-Based Clustering"
@@ -111,231 +117,231 @@ msgstr "随机森林聚类"
 
 msgctxt "DataSplit|"
 msgid "Data Split Preferences"
-msgstr ""
+msgstr "数据分割选项"
 
 msgctxt "DataSplit|"
 msgid "Holdout Test Data"
-msgstr ""
+msgstr "测试数据（留出法）"
 
 msgctxt "DataSplit|"
 msgid "Sample"
-msgstr ""
+msgstr "样本"
 
 msgctxt "DataSplit|"
 msgid "% of all data"
-msgstr ""
+msgstr "全部数据的%"
 
 msgctxt "DataSplit|"
 msgid "Add generated indicator to data"
-msgstr ""
+msgstr "将生成的指标添加到数据中"
 
 msgctxt "DataSplit|"
 msgid "None"
-msgstr ""
+msgstr "无"
 
 msgctxt "DataSplit|"
 msgid "Training and Validation Data"
-msgstr ""
+msgstr "训练和验证数据"
 
 msgctxt "DataSplit|"
 msgid "% for validation data"
-msgstr ""
+msgstr "%的验证数据"
 
 msgctxt "DataSplit|"
 msgid "K-fold with"
-msgstr ""
+msgstr "K-折"
 
 msgctxt "DataSplit|"
 msgid "folds"
-msgstr ""
+msgstr "折"
 
 msgctxt "DataSplit|"
 msgid "Leave-one-out"
-msgstr ""
+msgstr "留一法"
 
 msgctxt "mlClassificationBoosting|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClassificationBoosting|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClassificationBoosting|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClassificationBoosting|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClassificationKnn|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClassificationKnn|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClassificationKnn|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClassificationKnn|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClassificationLda|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClassificationLda|"
 msgid "Coefficients"
-msgstr ""
+msgstr "系数"
 
 msgctxt "mlClassificationLda|"
 msgid "Prior and posterior probabilities"
-msgstr ""
+msgstr "先验和后验概率"
 
 msgctxt "mlClassificationLda|"
 msgid "Class means training data"
 msgstr ""
 
 msgctxt "mlClassificationLda|"
 msgid "Assumption Checks"
-msgstr ""
+msgstr "假设检验"
 
 msgctxt "mlClassificationLda|"
 msgid "Equality of class means"
 msgstr ""
 
 msgctxt "mlClassificationLda|"
 msgid "Equality of covariance matrices"
-msgstr ""
+msgstr "协方差矩阵的相等性"
 
 msgctxt "mlClassificationLda|"
 msgid "Multicollinearity"
-msgstr ""
+msgstr "多重共线性"
 
 msgctxt "mlClassificationLda|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClassificationLda|"
 msgid "Linear discriminant matrix"
-msgstr ""
+msgstr "线性判别矩阵"
 
 msgctxt "mlClassificationLda|"
 msgid "Densities"
-msgstr ""
+msgstr "密度"
 
 msgctxt "mlClassificationLda|"
 msgid "Scatter plots"
-msgstr ""
+msgstr "散点图"
 
 msgctxt "mlClassificationLda|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClassificationLda|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClassificationRandomForest|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClassificationRandomForest|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClassificationRandomForest|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClassificationRandomForest|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "K-distance plot"
-msgstr ""
+msgstr "K-距离图"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Training Parameters"
 msgstr ""
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Normal"
 msgstr ""
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Correlated"
-msgstr ""
+msgstr "相关"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Model Optimization"
-msgstr ""
+msgstr "模型优化"
 
 msgctxt "mlClusteringDensityBased|"
 msgid "Fixed"
 msgstr ""
 
 msgctxt "mlClusteringFuzzyCMeans|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClusteringFuzzyCMeans|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClusteringFuzzyCMeans|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClusteringFuzzyCMeans|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Tables"
-msgstr ""
+msgstr "表"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Plots"
-msgstr ""
+msgstr "图"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Dendrogram"
-msgstr ""
+msgstr "树状图"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Training Parameters"
-msgstr ""
+msgstr "训练参数"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Algorithmic Settings"
-msgstr ""
+msgstr "算法设置"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Euclidean"
-msgstr ""
+msgstr "欧氏"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Average"
-msgstr ""
+msgstr "Average"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Single"
@@ -2786,4 +2792,5 @@ msgid ""
 "The prediction analysis enables you to load a trained machine learning model "
 "and apply it to new data. It is important that the features in the new "
 "dataset have the same names as in the original dataset used for training."
-msgstr ""
+msgstr "预测分析使您能够加载经过训练的机器学习模型并将其应用于新数据。新数据集中的特"
+"征必须与训练数据集中的特征具有相同的名称。"