diff --git a/docs/articles/introduction.html b/docs/articles/introduction.html index 4213659f..0b546ce5 100644 --- a/docs/articles/introduction.html +++ b/docs/articles/introduction.html @@ -434,17 +434,28 @@

Finding feature importanceNow, we can check out the feature importances:

 results_imp$feature_importance
-#>    perf_metric perf_metric_diff pvalue    names method perf_metric_name seed
-#> 1    0.5542375        0.0082625   0.37 Otu00001     rf              AUC 2019
-#> 2    0.5731750       -0.0106750   0.57 Otu00002     rf              AUC 2019
-#> 3    0.5548750        0.0076250   0.38 Otu00003     rf              AUC 2019
-#> 4    0.6414750       -0.0789750   0.99 Otu00004     rf              AUC 2019
-#> 5    0.5049625        0.0575375   0.05 Otu00005     rf              AUC 2019
-#> 6    0.5444500        0.0180500   0.18 Otu00006     rf              AUC 2019
-#> 7    0.5417125        0.0207875   0.21 Otu00007     rf              AUC 2019
-#> 8    0.5257750        0.0367250   0.05 Otu00008     rf              AUC 2019
-#> 9    0.5395750        0.0229250   0.02 Otu00009     rf              AUC 2019
-#> 10   0.4977625        0.0647375   0.05 Otu00010     rf              AUC 2019
+#> perf_metric perf_metric_diff pvalue names method perf_metric_name +#> 1 0.5542375 0.0082625 0.40594059 Otu00001 rf AUC +#> 2 0.5731750 -0.0106750 0.62376238 Otu00002 rf AUC +#> 3 0.5548750 0.0076250 0.43564356 Otu00003 rf AUC +#> 4 0.6414750 -0.0789750 0.99009901 Otu00004 rf AUC +#> 5 0.5049625 0.0575375 0.05940594 Otu00005 rf AUC +#> 6 0.5444500 0.0180500 0.19801980 Otu00006 rf AUC +#> 7 0.5417125 0.0207875 0.23762376 Otu00007 rf AUC +#> 8 0.5257750 0.0367250 0.08910891 Otu00008 rf AUC +#> 9 0.5395750 0.0229250 0.05940594 Otu00009 rf AUC +#> 10 0.4977625 0.0647375 0.05940594 Otu00010 rf AUC +#> seed +#> 1 2019 +#> 2 2019 +#> 3 2019 +#> 4 2019 +#> 5 2019 +#> 6 2019 +#> 7 2019 +#> 8 2019 +#> 9 2019 +#> 10 2019

There are several columns:

  1. @@ -482,10 +493,10 @@

    Finding feature importance#> Finding feature importance... #> Feature importance complete. results_imp_corr$feature_importance -#> perf_metric perf_metric_diff pvalue -#> 1 0.5502105 0.09715789 0.08 -#> 2 0.6369474 0.01042105 0.40 -#> 3 0.5951316 0.05223684 0.08 +#> perf_metric perf_metric_diff pvalue +#> 1 0.5502105 0.09715789 0.08910891 +#> 2 0.6369474 0.01042105 0.44554455 +#> 3 0.5951316 0.05223684 0.11881188 #> names #> 1 Otu00001|Otu00002|Otu00003|Otu00005|Otu00006|Otu00007|Otu00009|Otu00010 #> 2 Otu00004 diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 45e18aef..e9094896 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -7,7 +7,7 @@ articles: parallel: parallel.html preprocess: preprocess.html tuning: tuning.html -last_built: 2022-05-11T21:03Z +last_built: 2022-05-18T17:33Z urls: reference: http://www.schlosslab.org/mikropml/reference article: http://www.schlosslab.org/mikropml/articles diff --git a/docs/reference/get_perf_metric_fn.html b/docs/reference/get_perf_metric_fn.html index 21cadb55..2eb2e30c 100644 --- a/docs/reference/get_perf_metric_fn.html +++ b/docs/reference/get_perf_metric_fn.html @@ -105,7 +105,7 @@

    Examples

    #> data$obs <- factor(data$obs, levels = lev) #> postResample(data[, "pred"], data[, "obs"]) #> } -#> <bytecode: 0x7f9b28cc8be0> +#> <bytecode: 0x7fa3774c1120> #> <environment: namespace:caret> get_perf_metric_fn("binary") #> function (data, lev = NULL, model = NULL) @@ -163,7 +163,7 @@

    Examples

    #> stats <- stats[c(stat_list)] #> return(stats) #> } -#> <bytecode: 0x7f9b41131390> +#> <bytecode: 0x7fa389e58f88> #> <environment: namespace:caret> get_perf_metric_fn("multiclass") #> function (data, lev = NULL, model = NULL) @@ -221,7 +221,7 @@

    Examples

    #> stats <- stats[c(stat_list)] #> return(stats) #> } -#> <bytecode: 0x7f9b41131390> +#> <bytecode: 0x7fa389e58f88> #> <environment: namespace:caret> diff --git a/docs/reference/randomize_feature_order.html b/docs/reference/randomize_feature_order.html index 6399fdfb..6167eb39 100644 --- a/docs/reference/randomize_feature_order.html +++ b/docs/reference/randomize_feature_order.html @@ -107,10 +107,10 @@

    Examples

    a = 4:6, b = 7:9, c = 10:12, d = 13:15 ) randomize_feature_order(dat, "outcome") -#> outcome c b a d -#> 1 1 10 7 4 13 -#> 2 2 11 8 5 14 -#> 3 3 12 9 6 15 +#> outcome a d c b +#> 1 1 4 13 10 7 +#> 2 2 5 14 11 8 +#> 3 3 6 15 12 9