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Currently translated at 88.4% (526 of 595 strings) Translation: JASP/jaspMachineLearning-QML Translate-URL: https://hosted.weblate.org/projects/jasp/jaspmachinelearning-qml/zh_Hans/
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,9 +1,15 @@ | ||
| msgid "" | ||
| msgstr "" | ||
| "PO-Revision-Date: 2024-11-20 18:45+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" | ||
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@@ -167,7 +173,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationBoosting|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlClassificationKnn|" | ||
| msgid "Tables" | ||
|
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@@ -183,7 +189,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationKnn|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClassificationLda|" | ||
| msgid "Tables" | ||
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@@ -239,7 +245,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationLda|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlClassificationRandomForest|" | ||
| msgid "Tables" | ||
|
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@@ -255,7 +261,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationRandomForest|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringDensityBased|" | ||
| msgid "Tables" | ||
|
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@@ -275,7 +281,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClusteringDensityBased|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringDensityBased|" | ||
| msgid "Normal" | ||
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@@ -308,7 +314,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClusteringFuzzyCMeans|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringHierarchical|" | ||
| msgid "Tables" | ||
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@@ -328,7 +334,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClusteringHierarchical|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringHierarchical|" | ||
| msgid "Euclidean" | ||
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@@ -380,7 +386,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClusteringKMeans|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringRandomForest|" | ||
| msgid "Tables" | ||
|
|
@@ -396,7 +402,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClusteringRandomForest|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionBoosting|" | ||
| msgid "Tables" | ||
|
|
@@ -412,7 +418,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionBoosting|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionKnn|" | ||
| msgid "Tables" | ||
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@@ -428,7 +434,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionKnn|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionRandomForest|" | ||
| msgid "Tables" | ||
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@@ -444,7 +450,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionRandomForest|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionRegularized|" | ||
| msgid "Tables" | ||
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@@ -472,7 +478,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionRegularized|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlRegressionRegularized|" | ||
| msgid "Elastic net" | ||
|
|
@@ -548,7 +554,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationNeuralNetwork|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionNeuralNetwork|" | ||
| msgid "Tables" | ||
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@@ -564,7 +570,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionNeuralNetwork|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "DataSplit|" | ||
| msgid "Column name" | ||
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@@ -620,7 +626,7 @@ msgstr "随机" | |
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| msgctxt "mlClusteringKMeans|" | ||
| msgid "Algorithm" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringRandomForest|" | ||
| msgid "Trees" | ||
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@@ -700,7 +706,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationDecisionTree|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClassificationSvm|" | ||
| msgid "Tables" | ||
|
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@@ -716,7 +722,7 @@ msgstr "训练参数" | |
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| msgctxt "mlClassificationSvm|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlClusteringKMeans|" | ||
| msgid "Center type" | ||
|
|
@@ -748,7 +754,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionDecisionTree|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
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| msgctxt "mlRegressionSvm|" | ||
| msgid "Tables" | ||
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@@ -764,7 +770,7 @@ msgstr "训练参数" | |
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| msgctxt "mlRegressionSvm|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlPrediction|" | ||
| msgid "Trained model" | ||
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@@ -780,7 +786,7 @@ msgstr "特征" | |
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| msgctxt "mlPrediction|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlPrediction|" | ||
| msgid "Tables" | ||
|
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@@ -2547,7 +2553,7 @@ msgstr "训练参数" | |
|
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| msgctxt "mlRegressionLinear|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlRegressionNeuralNetwork|" | ||
| msgid "" | ||
|
|
@@ -2745,8 +2751,7 @@ msgid "" | |
| "contains the mean and standard deviation of the feature given the target " | ||
| "class. For categorical features, the table displays the conditional " | ||
| "probabilities given the target class." | ||
| msgstr "" | ||
| "显示后验统计量的表。对于数字特征，包含目标类别下特征的平均值和标准偏差。对于" | ||
| msgstr "显示后验统计量的表。对于数值特征，包含目标类别下特征的平均值和标准偏差。对于" | ||
| "分类特征，显示目标类别的条件概率。" | ||
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| msgctxt "mlClassificationNaiveBayes|" | ||
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@@ -2759,7 +2764,7 @@ msgstr "训练参数" | |
|
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| msgctxt "mlClassificationNaiveBayes|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlClassificationNaiveBayes|" | ||
| msgid "Smoothing parameter" | ||
|
|
@@ -2825,7 +2830,7 @@ msgstr "训练参数" | |
|
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| msgctxt "mlClusteringModelBased|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
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| msgctxt "mlClusteringModelBased|" | ||
| msgid "Model" | ||
|
|
@@ -2963,7 +2968,7 @@ msgstr "训练参数" | |
|
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| msgctxt "mlClassificationLogisticMultinomial|" | ||
| msgid "Algorithmic Settings" | ||
| msgstr "算法参数" | ||
| msgstr "算法设置" | ||
|
|
||
| msgctxt "mlClassificationLogisticMultinomial|" | ||
| msgid "Link function (for binary classification)" | ||
|
|
@@ -2994,4 +2999,5 @@ 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 "预测分析能够加载训练好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。" | ||