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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]


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  • predictor - What is the difference between estimation and prediction . . .
    uncertainty: a predictor usually has larger uncertainty than a related estimator, due to the added uncertainty in the outcome of that random variable Well-documented and -described predictors therefore usually come with uncertainty bands--prediction intervals--that are wider than the uncertainty bands of estimators, known as confidence intervals
  • 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
  • Announcing Az Predictor preview 5 | Microsoft Community Hub
    Enable Az Predictor Enable-AzPredictor -AllSession This command will enable Az Predictor in all further sessions of the current user Note: Due to underlying API breaking changes, Az Tools Predictor preview 3 or newer are not compatible with PowerShell 7 2 0-preview 6 or newer Upgrade to preview 5 of Az Tools Predictor to be compatible with
  • Missing Data as Predictor Variables for Multiple Linear Regression
    The overall procedure I want to use is first back-fill the operational data through bootstrap re-sampling, then use this back-filled history as a predictor for cumulative annual R M cost per vehicle Bootstrap Re-sampling
  • Announcing General Availability of Az. Tools. Predictor | Microsoft . . .
    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
  • Definitions of Prediction vs. Predictor - Cross Validated
    A predictor, as you point out, is a variable used in coming up with the prediction The latter is not synonymous with prediction To talk about a prediction is to talk about the 'expected value of a new observation [given the specific inputs]' This is equivalent to both the MMSE estimate and mean of the posterior predictive
  • Data analysis for aviator online casino game - Cross Validated
    This casino game called aviator gives random returns each round For example 1st round : x2 1 2nd round : x1 43 3rd round : x56 4th round : x1 etc The game continues 24 7 and you essentially bet w
  • r - Competing risks, Spline Coxph model, Plot . . . - Cross Validated
    I have a competing risks spline model I would like to plot the PREDICTED hazard ratios I want hazard ratios to be on the x axis and BMI to be on the y axis Here are the libraries I have loaded:
  • Interpretation of log transformed predictors in logistic regression
    $\begingroup$ @whuber in my answer to this question below I tried to formalize your comment here by applying the usual logic of log-log transformed regressions to this case, I also formalized the k-fold interpretation so we can compare
  • Calculate variance explained by each predictor in multiple regression . . .
    I proved that the percentage of variation explained by a given predictor in a multiple linear regression is the product of the slope coefficient and the correlation of the predictor with the fitted values of the dependent variable (assuming that all variables have been standardized to have mean zero and variance one; which is without loss of





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