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- A time series algorithm requires that the column or columns to be predicted must be continuous. 时序算法要求要预测的列必须是连续的。
- However, the Microsoft Time Series algorithm supports additional functions, listed in the following table. 但是,Microsoft时序算法还额外支持下表所列的函数。
- For more information about using HISTORICAL_MODEL_COUNT and HISTORICAL_MODEL_GAP, see Microsoft Time Series Algorithm. 有关使用HISTORICAL_MODEL_COUNT和HISTORICAL_MODEL_GAP的详细信息,请参阅Microsoft时序算法。
- This viewer displays mining models that are built with the Microsoft Time Series algorithm. 该查看器显示使用Microsoft时序算法生成的挖掘模型。
- The Microsoft Time Series algorithm does not support using the Predictive Model Markup Language (PMML) to create mining models. Microsoft时序算法不支持使用预测模型标记语言(PMML)创建挖掘模型。
- The Microsoft Time Series algorithm supports several parameters that affect the performance and accuracy of the resulting mining model. Microsoft时序算法支持多个参数,这些参数可影响生成的挖掘模型的性能和准确性。
- Historical prediction is limited by the following Microsoft Time Series algorithm parameters HISTORIC_MODEL_COUNT and HISTORICAL_MODEL_GAP. 历史预测受到下列Microsoft时序算法参数HISTORIC_MODEL_COUNT和HISTORICAL_MODEL_GAP的限制。
- The Microsoft Time Series algorithm supports specific input column content types, predictable column content types, and modeling flags, which are listed in the following table. Microsoft时序算法支持特定输入列内容类型、可预测列内容类型和建模标志,这些类型和标志如下表所列。
- The Microsoft Time Series algorithm uses a linear regression decision tree approach to analyze time-related data, such as monthly sales data or yearly profits. Microsoft时序算法使用线性回归决策树方法来分析与时间相关的数据,例如,月销售额数据或年利润。
- By using the Microsoft Time Series algorithm on historical data from the past three years, the company can produce a data mining model that forecasts future bike sales. 通过对过去三年的历史数据使用Microsoft时序算法,该公司可以建立一个数据挖掘模型,用于预测未来的自行车销售情况。
- The Microsoft Time Series algorithm is a regression algorithm for use in creating data mining models to predict continuous columns, such as product sales, in a forecasting scenario. Microsoft时序算法是一种回归算法,用于在预测方案中创建数据挖掘模型以预测连续列(如产品销量)。
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Predicts the future values for a time series. 预测一个时序的未来值。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- time series algorithm 时间序列算法
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
