TIME SERIES DATA - 翻译成中文

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时序数据
时间系列数据

在 英语 中使用 Time series data 的示例及其翻译为 中文

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You can still standardize your time series data if this expectation is not met, but you may not get reliable results.
不满足这个期望,你仍然可以标准化你的时间序列数据,但是可能不会得到可靠的结果。
Cube is an open-source system for visualizing time series data, built on MongoDB, Node, and D3.
Cube是一款开源的时间序列数据可视化系统,基于MongoDB、Node和D3进行构建。
Compiling valid and comparable time series data that can be used to assess land cover change can be a major challenge.
如此一来,汇编可靠和可比较的时间序列数据,用于评估土地覆被变化,可能成为一项艰巨任务。
Timelion is a time series data visualizer that enables you to combine totally independent data sources within a single visualization.
Timelion是一个时间序列数据的可视化,可以结合在一个单一的可视化完全独立的数据源。
You can import time series data and associated data into Amazon Forecast from your Amazon S3 database.
您可以将时间序列数据和关联数据从AmazonS3数据库导入AmazonForecast。
Suppose you want to split the time series data below into training and validation sets.
假设你想把下面的时间序列数据分成训练集和验证集:.
CEP is often used for processing time series data, and it is a good fit for applying rules to real-time sensor data..
CEP通常用处理时间序列数据,并且非常适合将规则应用于实时传感器数据。
A key function to help transform time series data into a supervised learning problem is the Pandas shift() function.
将时间序列数据转换成有监督学习问题的一个关键是Pandas的shift()函数。
InfluxDB is an open-source database written in Go specifically to handle time series data with high availability and high-performance requirements.
InfluxDB是一个由Go编写的开源数据库,专门用于处理具有高可用和高性能要求的时间序列数据
A multi-dimensional data model with time series data identified by metric name and key/value pairs.
具有由metric名称和键/值对标识的时间序列数据的多维数据模型.
They can take a few forms, but for us they're tagged time series data.
指标是什么?它们可以有几种形式,但对我们来说,它们是有标记的时间序列数据
This data includes time series data- machine pressures, temperatures, currents, voltages and other sensor data- alarm and event data, and other data from third-party systems.
这些数据包括时间序列数据--机器压力、温度、电流、电压,以及其他传感器数据--报警和事件数据,还包含来自第三方系统的其他数据。
Time series data is coming at us from all directions: sensors, mobile devices, Web tracking, financial events, factory automation, and utilities- to name just a few.
时间序列数据正从四面八方向我们涌来:传感器、移动设备、Web追踪、财经事件、工厂自动化以及各种工具-只列举这几个吧。
Exponential smoothing used to reduce irregularities(random fluctuations) in time series data, thus providing a clearer view of the true underlying behaviour of the series..
Exponentialsmoothing用于在时间序列数据中减少违规行为(随机波动),从而为序列中的潜在行为提供更清晰的视图。
Since this is the first year of the MYFF, and the 30 service lines, time series data on the average number of intended outcomes per country programme will only be available from next year onwards.
今年是多年筹资框架的第一年并有30个服务项目,因此有关每个国家方案预定成果平均数目的时序数据明年开始才能得到。
UCR Time Series Data Archive.
UCR时间序列数据存档.
Finance data belongs to time series data.
金融数据属于时间序列数据
JavaOne Conference on managing Time Series Data.
大会在管理时间序列数据.
Learn how to forecast numerical values from time series data.
了解如何从时间序列数据中预测数值.
The key components of time series data and forecasting models.
时间序列数据和预测模型的关键成分.
结果: 296, 时间: 0.037

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