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featvec-class function | R Documentationhttps://www.rdocumentation.org/.../versions/3.5.4/topics/featvec-classClass "featvec" This class represents feature vector style fingerprints, where, rather than a bit string, the fingerprint is represented as a sequence of (signed) integers or strings. Each element of the collection is a representation of a structural feature.

Class "featvec" This class represents feature vector style fingerprints, where, rather than a bit string, the fingerprint is represented as a sequence of (signed) integers or strings. Each element of the collection is a representation of a structural feature.
www.rdocumentation.org/.../versions/3.5.4/topics/f...

JIGSAW Public API: FeatVec class Reference - CCB at JHUhttps://ccb.jhu.edu/software/jigsaw/api/lib_api/classFeatVec.htmlDetailed Description represents a vector of EvidenceType* and is used to store a heterogenous collection evidence types.

Detailed Description represents a vector of EvidenceType* and is used to store a heterogenous collection evidence types.
ccb.jhu.edu/software/jigsaw/api/lib_api/classFeatV...

as.character function | R Documentationhttps://www.rdocumentation.org/.../versions/3.5.7/topics/as.character# S4 method for fingerprint as.character(x) # S4 method for featvec as.character(x) # S4 method for feature as.character(x) Arguments x. An object of class fingerprint, featvec or feature. Value. A string of 1's and 0's or else a character vector of …

# S4 method for fingerprint as.character(x) # S4 method for featvec as.character(x) # S4 method for feature as.character(x) Arguments x. An object of class fingerprint, featvec or feature. Value. A string of 1's and 0's or else a character vector of …
www.rdocumentation.org/.../versions/3.5.7/topics/a...

khanhnamle1994’s gists · GitHubhttps://gist.github.com/khanhnamle1994for featVec in data: currentLabel = featVec[-1] if currentLabel not in labelCounts.keys(): 1 file 0 forks 0 comments 0 stars khanhnamle1994 / knn-scikit-learn.py. Created Aug 25, 2018. k-Nearest Neighbor algorithm using scikit-learn View knn-scikit-learn.py. from ...

for featVec in data: currentLabel = featVec[-1] if currentLabel not in labelCounts.keys(): 1 file 0 forks 0 comments 0 stars khanhnamle1994 / knn-scikit-learn.py. Created Aug 25, 2018. k-Nearest Neighbor algorithm using scikit-learn View knn-scikit-learn.py. from ...
gist.github.com/khanhnamle1994

JIGSAW Public API: FeatVec.h Source File - CCB at JHUhttps://ccb.jhu.edu/software/jigsaw/api/lib_api/FeatVec_8h-source.htmlFeatVec.h. 00001 00002 // Copyright (c) 2003, The Institute for Genomic Research (TIGR), Rockville, 00003 // Maryland, U.S.A. All rights reserved. 00005 #ifndef ...

FeatVec.h. 00001 00002 // Copyright (c) 2003, The Institute for Genomic Research (TIGR), Rockville, 00003 // Maryland, U.S.A. All rights reserved. 00005 #ifndef ...
ccb.jhu.edu/software/jigsaw/api/lib_api/FeatVec_8h...

machinelearninginaction/trees.py at master · LaoLiulaoliu ...https://github.com/LaoLiulaoliu/machinelearninginaction/blob/...for featVec in dataSet: # the the number of unique elements and their occurance currentLabel = featVec[ - 1 ] if currentLabel not in labelCounts.keys(): labelCounts[currentLabel] = 0

for featVec in dataSet: # the the number of unique elements and their occurance currentLabel = featVec[ - 1 ] if currentLabel not in labelCounts.keys(): labelCounts[currentLabel] = 0
github.com/LaoLiulaoliu/machinelearninginaction/bl...

python - Accuracy of Decision Tree Classifier - Stack Overflowhttps://stackoverflow.com/.../accuracy-of-decision-tree-classifierI have a decision tree classifier that predicts the value of last column in my dataset which is either 'made' or 'missed' and I have ran the program a few times, but the accuracy is …

I have a decision tree classifier that predicts the value of last column in my dataset which is either 'made' or 'missed' and I have ran the program a few times, but the accuracy is …
stackoverflow.com/.../accuracy-of-decision-tree-cl...

distance-methods: Calculates the Similarity or ...https://rdrr.io/cran/fingerprint/man/distance-methods.htmlA number of distance metrics can be calculated for binary fingerprints. Some of these are actually similarity metrics and thus represent the reverse of a distance metric. The following are distance (dissimilarity) metrics

A number of distance metrics can be calculated for binary fingerprints. Some of these are actually similarity metrics and thus represent the reverse of a distance metric. The following are distance (dissimilarity) metrics
rdrr.io/cran/fingerprint/man/distance-methods.html