R plot.augPred 绘制 augPred 对象R语言 plot.augPred 位于nlme 包(package)。 说明 生成预测与主要协变量的网格 xyplot,并针对分组因子的每个值使用不同的面板。预测值由线条连接,每个分组级别使用不同的线条类型(颜色)。原始观察结果用圆圈表示。 用法 ## S3 method for class 'augPred' plot(x, key, ...
Plot an augPred ObjectJos PinheiroDouglas Bates
plot_precision_recall分数,那将是最简单的。 我认为问题是,根据文档,使用该论点“当y_true是二进制时将被忽略”,因此至少在average='micro' 中报告了宏平均值。因为它仅向积极阶级报告PR AUC。 nb:我不包括可重复的示例,因为我只想从 roc_auc_score 方法中获得相应的分数。我已经用负面结果搜索了一场风暴...
ax.plot(xx+np.random.sample(len(xx))*0.01, this_acc, marker='o',linestyle='None', color=colors[ii],zorder=-ii, alpha=0.9, mfc='None', mew=1, markersize=size) ifii==0: psorter=np.argsort(lr_pvalues) feat_names_=[feat_names[kk]forkkinpsorter] ...
predMatrix <- sapply(1:length(xPred), function(k){ sapply(1:min(nrow(object$beta), 100), function(l){ xPlot <- xPred[k] formNew <- gsub(paste0("\\[", xVar, "\\]"), xPlot, form) if (length(otherX) > 0) { for (m in 1:length(otherX)) { formNew <- gsub(paste0...
The PLOT subcommand and SUMMARY keyword display a chart that summarizes the selected and unselected predictors. Selected predictors are always displayed. The maximum number of unselected predictors that can be displayed is determined by the SHOWUNSELECTED option on the CRITERIA subcommand....
Plot the baseline survival function for the model. plot(mdl) Predict RUL Using Covariate Survival Model Open Live Script Load training data. load('covariateData.mat') This data contains battery discharge times and related covariate information. The covariate variables are: ...
What is the English language plot outline for Ljubavna pisma s predumisljajem (1985)? Answer See more gaps Learn more about contributing Edit page More from this title We are unable to load this content at this time. Please refresh the page or try again later. ...
"Oli" Länder planen Zwangseinweisungen für Quarantänebrecher | Wasser predigen und Wein saufen in Bayern! (TV Episode 2021) - Plot summary, synopsis, and more...
Normal Distribution Power Curves for Sampling Design for Test Based on Prediction Interval for Normal DistributionPower Curves for Sampling Design for Test Based on Prediction Interval for Normal DistributionSteven P. Millard