RWeka/NAMESPACE at master · cran/RWeka · GitHub

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import("RWekajars")
import("stats")
importFrom("graphics", "plot")
## For 2.5.0 or later, read.table() and friends were moved to utils, so
## we need
##   importFrom("utils", "read.table", "write.table")
## Let's just import utils to keep things simple.
import("utils")
## When using rJava without attaching the package we used to get errors
## like
##   "jarrayRef" is not a defined class
## but apparently things improved ...
importFrom("rJava", ".jaddClassPath", ".jarray", ".jcall", ".jcast",
           ".jevalArray", ".jfield", ".jfindClass", ".jinit", ".jlong",
           ".jnew", ".jnull", ".jpackage", ".jstrVal")
## Only needed for plotting Weka_tree objects, which requires party
## which in turn depends on (hence attaches) grid, but in any case ...
import("grid")

export("read.arff",                     # "read.arff.R",
       "write.arff",                    # "write.arff.R",
       ## Associators
       "make_Weka_associator",
       "Apriori", "Tertius",
       ## Attribute evaluators
       "make_Weka_attribute_evaluator",
       "GainRatioAttributeEval", "InfoGainAttributeEval",
       ## Classifiers
       "make_Weka_classifier",
       "LinearRegression", "Logistic", "SMO",
       "IBk", "LBR",
       "AdaBoostM1", "Bagging", "LogitBoost", "MultiBoostAB",
       "Stacking", "CostSensitiveClassifier",
       "JRip", "M5Rules", "OneR", "PART",
       "J48", "M5P", "LMT", "DecisionStump",
       ## Clusterers
       "make_Weka_clusterer",
       "Cobweb", "FarthestFirst", "SimpleKMeans", "XMeans", "DBScan",
       ## Converters
       "C45Loader", "XRFFLoader", "C45Saver", "XRFFSaver",
       ## Filters
       "make_Weka_filter",
       "Normalize", "Discretize",
       ## Stemmers
       "IteratedLovinsStemmer", "LovinsStemmer",
       ## Tokenizers
       "AlphabeticTokenizer", "NGramTokenizer", "WordTokenizer",
       ## Others ...
       "list_Weka_interfaces",
       "WOW",
       "WPM",
       "make_Weka_package_loader",
       "Weka_control",
       "write_to_dot",
       "evaluate_Weka_classifier",
       "parse_Weka_digraph")

S3method("fitted", "Weka_classifier")
S3method("fitted", "Weka_clusterer")
S3method("model.frame", "Weka_classifier")
S3method("plot", "Weka_tree")
S3method("predict", "Weka_classifier")
S3method("predict", "Weka_clusterer")
S3method("print", "R_Weka_interface")
S3method("print", "Weka_associator")
S3method("print", "Weka_classifier")
S3method("print", "Weka_clusterer")
S3method("print", "WOW")
S3method("print", "Weka_control")
S3method("as.character", "Weka_control")
S3method("write_to_dot", "Weka_classifier")
S3method("print", "Weka_filter")
S3method("print", "Weka_classifier_evaluation")
S3method("summary", "Weka_classifier")

S3method("print", "Weka_package_info")
S3method("print", "Weka_package_listing")