英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

predictor    音标拼音: [prɪd'ɪktɚ]
n. 预言者,预告者

预言者,预告者

predictor
预测子

predictor
n 1: someone who makes predictions of the future (usually on the
basis of special knowledge) [synonym: {forecaster},
{predictor}, {prognosticator}, {soothsayer}]
2: information that supports a probabilistic estimate of future
events; "the weekly bulletin contains several predictors of
mutual fund performance"
3: a computer for controlling antiaircraft fire that computes
the position of an aircraft at the instant of a shell's
arrival

Predictor \Pre*dict"or\, n.
One who predicts; a foreteller.
[1913 Webster]


请选择你想看的字典辞典：
单词字典翻译
predictor查看　predictor　在百度字典中的解释百度英翻中〔查看〕
predictor查看　predictor　在Google字典中的解释Google英翻中〔查看〕
predictor查看　predictor　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • Announcing Az Predictor | Microsoft Community Hub
    Az Predictor annimated GIF Goals We built Az Predictor, an intelligent command completion module for Azure Powershell Az Predictor helps our Azure developers find the cmdlet they are looking for efficiently, identify the required parameters quickly, and experience fewer errors
  • Logistic regression and ordinal independent variables
    The coefficient reflects the change in log odds for each increment of change in the ordinal predictor This (very common) model specification assumes the the predictor has a linear impact across its increments
  • Data matrix, predictor matrix, observation matrix, model matrix, and . . .
    predictor matrix $\in \mathbb {R}^ {N\times p}$ is synonymous to observation matrix and data matrix They contain the raw, untreated data design matrix refers to the same concept in the context of a designed experiment model matrix is the result of applying some basis expansion * to the predictor matrix
  • predictor - What is the difference between estimation and prediction . . .
    An estimator uses data to guess at a parameter while a predictor uses the data to guess at some random value that is not part of the dataset For those who are unfamiliar with what "parameter" and "random value" mean in statistics, the following provides a detailed explanation
  • How do I determine the best predictor in a linear regression model . . .
    There are multiple ways to determine the best predictor One of the most easy way is to first see correlation matrix even before you perform the regression Generally variable with highest correlation is a good predictor You can also compare coefficients to select the best predictor (Make sure you have normalized the data before you perform regression and you take absolute value of
  • Announcing General Availability of Az. Tools. Predictor
    On November 10, 2020, we announced the first preview of Az Tools Predictor, a PowerShell module suggesting the Azure cmdlet to use with parameters and suggested values Today, we are announcing the general availability of Az Tools Predictor How it all started During a study about a new module for Azure, I was surprised to see how difficult it was for the participant to find the correct cmdlet
  • Are there rules of thumb for the sample size required when using a . . .
    Are there any rules of thumb for how many data points in a level of a category you need in order to incorporate said level as a predictor? When I try to search for this, I keep finding EPV criteria, which are for outcomes rather than predictors Also, would the answer to this question change if I were using logistic regression?
  • statistical significance - Significant predictors become non . . .
    There could be some strange noise in your constant Especially look at the significance of the constant in the model with predictor 1 - it's edging up to insignificance Yet the constant in the multivariate model is significant Finally, a regular regression is based on a normal distribution and the discrete probabilities on the distributional
  • Can ANOVA be used with a categorical outcome and continuous predictor . . .
    Then you have a specific "predictor" x and a defined "outcome" y; you would want the analysis method to reflect the experimental design In some types of observational study, however, the distinction between the "outcome" and the "predictor" isn't always so clear
  • Logistic regression with only categorical predictors
    Yeah, it's perfectly acceptable for a logistic regression to contain only categorical predictors Remember that we code categorical predictors numerically (e g , 0 and 1, -1 and 1, etc ), so the distinction between categorical and continuous doesn't really exist for the regression As for how to plot the effect, I would typically use a bar plot with each bar representing the estimated





中文字典-英文字典  2005-2009