DATASETS 英语是什么意思 - 英语翻译

• datasets
• dataset

在 中文 中使用 Datasets 的示例及其翻译为 英语

DataSets还充分利用了Tungsten的快速内存编码。
Datasets also leverage Tungsten's fast in-memory encoding.

KaggleCompetitionsandDatasets：它是我的最爱。
Kaggle Competitions and Datasets: This is my personal favorite.

可以看到内置数据集的完整列表library(help="datasets")。
A comprehensive list of built-in datasets can be seen with library(help="datasets").

AwesomePublicDatasets-由行业划分高质量数据集。
Awesome Public Datasets- High quality datasets separated by industry.

欢迎来到TensorFlowEstimators和Datasets入门系列博客的第四部分。
Welcome to Part 4 of a blog series that introduces TensorFlow Datasets and Estimators.

这个新的DatasetsAPI的另一个好处是减少了内存使用量。
Another benefit of this new Dataset API is the reduction in memory usage.

从长远来看，我们期望DataSets成为编写更高效Spark应用程序的强大方式。
In the long run, we expect Datasets to become a powerful way to write more efficient Spark applications.

Googlengramsdatasets：来自数Google扫描的百万书籍文本。
Google ngrams datasets, text from millions of books scanned by Google.

Spark1.6首次提出了Datasets，我们期望在未来的版本中改进它们。
Spark 1.6 offers the first glimpse at Datasets, and we expect to improve them in future releases.

Googlengramsdatasets：来自数Google扫描的百万书籍文本。
Google's Ngrams dataset contains data on text from millions of books scanned by Google.

DataSetsAPI的另一个目标是提供可在Scala和Java中使用的统一接口。
Another goal to the Dataset API is to provide a single interface that is usable in both Scala and Java.

正如你在下面的图表中看到的那样，Datasets的实现比原始的RDD实现要快得多。
As you can see in the graph below, the Dataset implementation runs much faster than the naive RDD implementation.

Googledatasets(WEB)Google提供了一些数据集作为其BigQuery工具的一部分。
Google datasets- Google provides a few datasets as part of its Big Query tool.

Read_csv的相对路径，意味着所有的数据集都在Datasets文件夹下的当前工作目录中：.
Read_csv, meaning that all of the datasets are in a folder named Datasets in our current working directory:.

OsirixDatasets：提供通过各种成像模式获取的大量人类数据集。
Osirix Datasets: Provides a large range of human datasets acquired through a variety of imaging modalities.

另外它有一个DataSetHelper，可以让你使用DataSets和DataTables轻松处理Excel数据。
Plus it has a DataSetHelper that lets you use DataSets and DataTables to easily work with Excel data.

Spark1.6包含DataSets的API预览版，它们将成为下几个Spark版本的开发重点。
Spark 1.6 includes an API preview of Datasets, and they will be a development focus for the next several versions of Spark.

本书由斯坦福大学CS246:MiningMassiveDatasets和SC345A:DataMining课程的内容总结而成。
The book is based on Stanford Computer Science course CS246: Mining Massive Datasets(and CS345A: Data Mining).

DataSets继承了编译时类型安全性的好处-这意味着线上应用程序可以在运行之前检查错误。
Datasets extend these benefits with compile-time type safety- meaning production applications can be checked for errors before they are run.

一个HDF5文件就是一个由两种基本数据对象（groupsanddatasets）存放多种科学数据的容器：.
An HDF5 file is a container for storing a variety of scientific data and is composed of two primary types of objects: groups and datasets.

RedditDatasetsSubredditWEB由于这是一个社区驱动的论坛，它可能会遇到一些麻烦(与之前的两个来源相比)。
Reddit Datasets Subreddit Since this is a community driven forum, it might come across a bit messy(compared to previous 2 sources).

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.

虽然这个高层次代码在语法上看起来类似，但使用Datasets，你也可以访问完整关系执行引擎的所有功能。
While this high-level code may look similar syntactically, with Datasets you also have access to all the power of a full relational execution engine.

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.

DatasetsAPI的核心是一个称为Encoder的新概念，它负责在JVM对象和表格表示(tabularrepresentation)之间进行转换。
At the core of the Dataset API is a new concept called an encoder, which is responsible for converting between JVM objects and tabular representation.

由于Spark了解Datasets中数据的结构，因此可以在缓存Datasets时在内存中创建更优化的布局。
Since Spark understands the structure of data in Datasets, it can create a more optimal layout in memory when caching Datasets.

它先容了ApacheSpark的历史以及如何使用Python、RDD/Dataframes/Datasets安装它，然后通过解决机器学习问题，对自己的常识点进行查漏补缺。
It covers the history of Apache Spark, how to install it using Python, RDD/Dataframes/Datasets and then rounds-up by solving a machine learning problem.

AmazonWebServices(AWS)datasets-亚马逊提供了一些大数据集，可以在他们的平台或你自己的本地计算机上使用。
Amazon Web Services(AWS) datasets- Amazon provides a few big datasets, which can be used on their platform or on your local computers.

HitCompaniesDatasets：HitCompanies随机取样的1万个英国公司全面的数据，采用人工智能/机器学习进行自动更新。
HitCompanies Datasets, comprehensive data on random 10,000 UK companies sampled from HitCompanies, updated automatically using AI/Machine Learning.

但是，由于DatasetsEncoder向Spark提供有关正在存储数据的更多信息，因此优化后缓存会减少4.5x的空间。
However, since Dataset encoders provide more information to Spark about the data being stored, the cached representation can be optimized to use 4.5x less space.