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R: Jaccard Similarity Index
mlr_measures_sim.jaccard {mlr3} R Documentation Jaccard Similarity Index Description Measure to compare two or more sets w.r.t. their similarity. Details For two sets A and B, the Jaccard...
/CRAN/refmans/mlr3/html/mlr_measures_sim.jaccard.html
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R: jaccard: Estimates the Jaccard index for comparing two binary...
jaccard {bamm} R Documentation jaccard: Estimates the Jaccard index for comparing two binary maps Description Estimates the Jaccard index for comparing two binary maps Usage jaccard(m1, m2)...
/CRAN/refmans/bamm/html/jaccard.html
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R: Compute a Jaccard/Tanimoto similarity coefficient
jaccard {jaccard} R Documentation Compute a Jaccard/Tanimoto similarity coefficient Description Compute a Jaccard/Tanimoto similarity coefficient Usage jaccard(x, y, center = FALSE, px = NULL, py...
/CRAN/refmans/jaccard/html/jaccard.html
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R: Compute an expected Jaccard/Tanimoto similarity coefficient...
jaccard.ev {jaccard} R Documentation Compute an expected Jaccard/Tanimoto similarity coefficient under independence Description Compute an expected Jaccard/Tanimoto similarity coefficient under...
/CRAN/refmans/jaccard/html/jaccard.ev.html
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R: Pair-wise tests for Jaccard/Tanimoto similarity coefficients
jaccard.test.pairwise {jaccard} R Documentation Pair-wise tests for Jaccard/Tanimoto similarity coefficients Description Given a data matrix, it computes pair-wise Jaccard/Tanimoto similarity...
/CRAN/refmans/jaccard/html/jaccard.test.pairwise.html
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R: Jaccard’s similarity
...Jaccard’s similarity, which reflects the reproducibility of individual clusters across bootstrapping runs. Jaccard’s similarity is the intersect of two clusters divided by the union. Usage Jaccard...
/CRAN/refmans/DIscBIO/html/Jaccard.html
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R: Jaccard similarity.
jaccard {iTOP} R Documentation Jaccard similarity. Description Computes the Jaccard similarity between x and y. When both x and y only contain zeroes, the Jaccard similarity it not defined. This...
/CRAN/refmans/iTOP/html/jaccard.html
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R: Calculate the Jaccard Index
...the Jaccard Index from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length. Jaccard = (tp) / (tp + fp + fn) Usage Jaccard(tp, fp, tn, fn...
/CRAN/refmans/cutpointr/html/Jaccard.html
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R: Jaccard distance matrix
jaccard {prabclus} R Documentation Jaccard distance matrix Description Computes Jaccard distances between the columns of a 0-1-matrix. Usage jaccard(regmat) Arguments regmat 0-1-matrix. Columns are...
/CRAN/refmans/prabclus/html/jaccard.html
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R: Jaccard Index
Jaccard Index {EMCluster} R Documentation Jaccard Index Description This function returns the Jaccard index for binary ids. Usage Jaccard.Index(x, y) Arguments x true binary ids, 0 or 1. y predicted...
/CRAN/refmans/EMCluster/html/xx_Jaccard.html
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R: Jaccard similarity matrix.
jaccard {OTclust} R Documentation Jaccard similarity matrix. Description This function calculates Jaccard similarity matrix between two partitions. Usage jaccard(x, y) Arguments x, y – vectors...
/CRAN/refmans/OTclust/html/jaccard.html
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R: Calculate jaccard similarity metric for two sets a and b
jaccard {epos} R Documentation Calculate jaccard similarity metric for two sets a and b Description Calculate jaccard similarity metric for two sets a and b Usage jaccard(ainterb, aunionb, lengtha...
/CRAN/refmans/epos/html/jaccard.html
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R: Calculate the Jaccard index between two matrices
Jaccard {Signac} R Documentation Calculate the Jaccard index between two matrices Description Finds the Jaccard similarity between rows of the two matrices. Note that the matrices must be binary...
/CRAN/refmans/Signac/html/Jaccard.html
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R: Jaccard index
...jaccard {fdm2id} R Documentation Jaccard index Description Evaluation predictions of a classification model according to Jaccard index. Usage evaluation.jaccard(predictions, gt, positive = levels(gt)...
/CRAN/refmans/fdm2id/html/evaluation.jaccard.html
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R: Jaccard distance (lowlevel function)
jaccard {philentropy} R Documentation Jaccard distance (lowlevel function) Description The lowlevel function for computing the jaccard distance. Usage jaccard(P, Q, testNA) Arguments P a numeric vector...
/CRAN/refmans/philentropy/html/jaccard.html
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R: Comparison of two sets of clusters, using Jaccard index
compare.jaccard {fdm2id} R Documentation Comparison of two sets of clusters, using Jaccard index Description Comparison of two sets of clusters, using Jaccard index Usage compare.jaccard(clus, gt, comp...
/CRAN/refmans/fdm2id/html/compare.jaccard.html
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R: Jaccard index
Jaccard {Ravages} R Documentation Jaccard index Description Calculates the Jaccard index for each pair of individuals using a bed.matrix Usage Jaccard(x, maf.threshold = 0.01) Arguments x A bed.matrix...
/CRAN/refmans/Ravages/html/Jaccard.html
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R: Jaccard
Jaccard {fastai} R Documentation Jaccard Description Jaccard score for single-label classification problems Usage Jaccard( axis = -1, labels = NULL, pos_label = 1, average = "binary", sample_weight...
/CRAN/refmans/fastai/html/Jaccard.html
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R: Computing Weighted Jaccard Distance
...Computing Weighted Jaccard Distance Description #' wgt_jaccard_distance computes the Weighted Jaccard Distance between two strings. It is vectorized, and accepts only two equal-length string vectors.
/CRAN/refmans/fedmatch/html/wgt_jaccard_distance.html
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R: Jaccard or Dice similarity for text documents
...Jaccard or Dice similarity for text documents Description Jaccard or Dice similarity for text documents Usage JACCARD_DICE( token_list1 = NULL, token_list2 = NULL, method = "jaccard", threads = 1...
/CRAN/refmans/textTinyR/html/JACCARD_DICE.html
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