DATASET in English translation

dataset
数据集
据集

Examples of using Dataset in Chinese and their translations into English

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要保持简单,可能要在DataSet中为每个DataTable创建一个DataAdapter。
To maintain simplicity, you may want to create a DataAdapter for each DataTable in your DataSet.
一个例外是DataSet,它对多个阅读器是线程安全的。
The one exception is the DataSet, which is thread-safe for multiple readers.
DataSet的另一个好处是可被继承以创建一个强类型DataSet。
Another benefit of the DataSet is that it can be inherited to create a strongly typed DataSet..
统一Scala和Java中DataFrames和Datasets:从Spark2.0开始,DataFrame只是DatasetofRow的类型别名。
Unifying DataFrames and Datasets in Scala/Java: Starting in Spark 2.0, DataFrame is just a type alias for Dataset of Row.
生成Guid值的算法应该永远不会使数据源中生成的Guid值与DataSet中生成的Guid值一样。
The algorithm that generates Guid values should never generate the same Guid in the DataSet as is generated by the data source.
由于编译时类型安全性在Python和R中并不是语言特性,因此Dataset的概念不适用于这些语言API。
Since compile-time type-safety in Python and R is not a language feature, the concept of Dataset does not apply to these languages' APIs.
NET提供以下两个对象,用于检索关系数据并将其存储在内存中:DataSet和DataReader。
NET provides two objects for retrieving relational data and storing it in memory: the DataSet and the DataReader.
有几种方式可以跟SparkSQL进行交互,包括SQL和DatasetAPI。
There are several ways to interact with Spark SQL including SQL and the Dataset API.
统一Scala和Java中DataFrames和Datasets的API:从Spark2.0开始,DataFrame仅仅是Dataset的一个别名。
Unifying DataFrames and Datasets in Scala/Java: Starting in Spark 2.0, DataFrame is just a type alias for Dataset of Row.
类型化DataSet从DataSet类派生,因此不会牺牲DataSet的任何功能。
A typed DataSet derives from the DataSet class, so that you do not sacrifice any of the DataSet functionality.
与之形成对比,Dataset就是一些有明确类型定义的JVM对象的集合,通过你在Scala中定义的CaseClass或者Java中的Class来指定。
Dataset, by contrast, is a collection of strongly-typed JVM objects, dictated by a case class you define, in Scala or Java.
GRUN:Anobservations-basedglobalgriddedrunoffdatasetfrom1902to2014/GRUN:从1902年到2014年的基于观测的全球网格化径流数据集.
GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 Gionata Ghiggi et al.
这些数据集工具(例如DataSetWizard,DataSetEditor,DataSetManager),使您创建和编辑类型化和非类型化的数据集更简便。
DataSet tools, such as DataSet Wizard, DataSet Editor, DataSet Manager, provide you an easy way to create and edit typed and untyped DataSets..
有类型的方法(typedmethods)(比如:map,filter,groupByKey)和无类型的方法(untypedmethods)(比如:select,groupBy)目前在Dataset类上可用。
Both the typed methods(e.g. map, filter, groupByKey) and the untyped methods(e.g. select, groupBy) are available on the Dataset class.
在[Hoyer,2004][2]中已经观察到,当被小心约束时,NMF可以产生数据集的基于部分的表式(parts-basedrepresentationofthedataset),能够产生可解释的模型(interpretablemodels)。
It has been observed in[Hoyer, 2004][2] that, when carefully constrained, NMF can produce a parts-based representation of the dataset, resulting in interpretable models.
我们的算法系统在挑战“法国街道名称识别数据集”(FrenchStreetNameSigns(FSNS)dataset)中达到了84.2%的正确率,明显优于之前的最优系统。
Our algorithm achieves 84.2% accuracy on the challenging French Street Name Signs(FSNS) dataset, significantly outperforming the previous state-of-the-art systems.
因为dataset被同样的分区了,在一个单独的rdd1的partition中的一组key都可以仅出现在rdd2的一个单独的partition中。
Because the datasets are partitioned identically, the set of keys in any single partition of rdd1 can only occur in a single partition of rdd2.
因为编译时类型安全(compile-timetype-safety)在Python和R中并不是语言特性,所以Dataset的概念并不在这些语言中提供相应的API。
Since compile-time type-safety in Python and R is not a language feature, the concept of Dataset does not apply to these languages' APIs.
马印第安PimaDiabetesDataset.
The Pima Indians Diabetes Dataset.
接下来我们使用tf.data.Dataset.
Then use the tf. data. Dataset.
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