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abalone
|
Abalone |
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best_split(<DecisionTreeClassifier>)
|
Best Split function |
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best_split()
|
An S4 method to best split |
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breast
|
Breast |
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calculate_gini()
|
Function calculate gini |
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cclsSSLR()
|
General Interface Pairwise Constrained Clustering By Local Search |
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check_value()
|
Check value in leaf |
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check_xy_interface()
|
Ceck interface x y |
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ckmeansSSLR()
|
General Interface COP K-Means Algorithm |
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cluster_labels(<model_sslr_fitted>)
|
Cluster labels |
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cluster_labels()
|
Get labels of clusters |
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coBC()
|
General Interface for CoBC model |
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coBCCombine()
|
Combining the hypothesis |
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coBCG()
|
CoBC generic method |
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coBCReg()
|
General Interface coBCReg model |
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coBCRegG()
|
Generic Interface coBCReg model |
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coffee
|
Time series data set |
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constrained_kmeans()
|
General Interface Constrained KMeans |
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COREG()
|
General Interface for COREG model |
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DecisionTreeClassifier-class
|
Class DecisionTreeClassifier |
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democratic()
|
General Interface for Democratic model |
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democraticCombine()
|
Combining the hypothesis of the classifiers |
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democraticG()
|
Democratic generic method |
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EMLeastSquaresClassifierSSLR()
|
General Interface for EMLeastSquaresClassifier model |
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EMNearestMeanClassifierSSLR()
|
General Interface for EMNearestMeanClassifier model |
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EntropyRegularizedLogisticRegressionSSLR()
|
General Interface for EntropyRegularizedLogisticRegression model |
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fit(<model_sslr>)
|
Fit with formula and data |
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fit_decision_tree(<DecisionTreeClassifier>)
|
Fit decision tree |
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fit_decision_tree()
|
An S4 method to fit decision tree. |
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fit_random_forest(<RandomForestSemisupervised>)
|
Fit Random Forest |
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fit_xy(<model_sslr>)
|
Fit with x and y |
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fit_x_u(<model_sslr>)
|
Fit with x , y (labeled data) and unlabeled data (x_U) |
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fit_x_u()
|
fit_x_u object |
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get_centers(<model_sslr_fitted>)
|
Cluster labels |
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get_centers()
|
Get centers model of clustering |
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get_class_max_prob()
|
Get most frequented |
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get_class_mean_prob()
|
Get mean probability over all trees as prob vector |
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get_function()
|
FUNCTION TO GET FUNCTION METHOD |
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get_function_generic()
|
FUNCTION TO GET FUNCTION METHOD |
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get_levels_categoric()
|
Function to get gtoup from gini index |
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get_most_frequented()
|
Get most frequented |
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get_value_mean()
|
Get value mean |
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get_x_y()
|
FUNCTION TO GET REAL X AND Y WITH FORMULA AND DATA |
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gini_or_variance()
|
Gini or Variance by column |
|
gini_prob()
|
Function to compute Gini index |
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GRFClassifierSSLR()
|
General Interface for GRFClassifier (Transductive SVM classifier using the convex concave procedure) model |
|
grow_tree(<DecisionTreeClassifier>)
|
Function grow tree |
|
grow_tree()
|
An S4 method to grow tree. |
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knn_regression()
|
knn_regression |
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LaplacianSVMSSLR()
|
General Interface for LaplacianSVM model |
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lcvqeSSLR()
|
General LCVQE Algorithm |
|
LinearTSVMSSLR()
|
General Interface for LinearTSVM model |
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load_conclust()
|
Load conclust |
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load_parsnip()
|
Load parsnip |
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load_RANN()
|
Load parsnip |
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load_RSSL()
|
Load RSSL |
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MCNearestMeanClassifierSSLR()
|
General Interface for MCNearestMeanClassifier (Moment Constrained Semi-supervised Nearest Mean Classifier) model |
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mpckmSSLR()
|
General Interface MPC K-Means Algorithm |
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newDecisionTree()
|
Function to create DecisionTree |
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Node-class
|
Class Node for Decision Tree |
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nullOrNumericOrCharacter-class
|
An S4 class to represent a class with more types values: null, numeric or character |
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oneNN()
|
1-NN supervised classifier builder |
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predict(<DecisionTreeClassifier>)
|
Function to predict inputs in Decision Tree |
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predict(<RandomForestSemisupervised>)
|
Function to predict inputs in Decision Tree |
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predict(<coBC>)
|
Predictions of the coBC method |
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predict(<COREG>)
|
Predictions of the COREG method |
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predict(<democratic>)
|
Predictions of the Democratic method |
|
predict(<EMLeastSquaresClassifierSSLR>)
|
Predict EMLeastSquaresClassifierSSLR |
|
predict(<EMNearestMeanClassifierSSLR>)
|
Predict EMNearestMeanClassifierSSLR |
|
predict(<EntropyRegularizedLogisticRegressionSSLR>)
|
Predict EntropyRegularizedLogisticRegressionSSLR |
|
predict(<LaplacianSVMSSLR>)
|
Predict LaplacianSVMSSLR |
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predict(<LinearTSVMSSLR>)
|
Predict LinearTSVMSSLR |
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predict(<MCNearestMeanClassifierSSLR>)
|
Predict MCNearestMeanClassifierSSLR |
|
predict(<model_sslr_fitted>)
|
Predictions of model_sslr_fitted class |
|
predict(<OneNN>)
|
Model Predictions |
|
predict(<RandomForestSemisupervised_fitted>)
|
Predictions of the SSLRDecisionTree_fitted method |
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predict(<selfTraining>)
|
Predictions of the Self-training method |
|
predict(<setred>)
|
Predictions of the SETRED method |
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predict(<snnrce>)
|
Predictions of the SNNRCE method |
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predict(<snnrceG>)
|
Predictions of the SNNRCE method |
|
predict(<SSLRDecisionTree_fitted>)
|
Predictions of the SSLRDecisionTree_fitted method |
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predict(<triTraining>)
|
Predictions of the Tri-training method |
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predict(<TSVMSSLR>)
|
Predict TSVMSSLR |
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predict(<USMLeastSquaresClassifierSSLR>)
|
Predict USMLeastSquaresClassifierSSLR |
|
predict(<WellSVMSSLR>)
|
Predict WellSVMSSLR |
|
predictions(<GRFClassifierSSLR>)
|
predictions unlabeled data |
|
predictions(<model_sslr_fitted>)
|
Predictions of unlabeled data |
|
predictions()
|
predictions unlabeled data |
|
predict_inputs(<DecisionTreeClassifier>)
|
Predict inputs Decision Tree |
|
predict_inputs()
|
An S4 method to predict inputs. |
|
print(<model_sslr>)
|
Print model SSLR |
|
RandomForestSemisupervised-class
|
Class Random Forest |
|
seeded_kmeans()
|
General Interface Seeded KMeans |
|
selfTraining()
|
General Interface for Self-training model |
|
selfTrainingG()
|
Self-training generic method |
|
setred()
|
General Interface for SETRED model |
|
setredG()
|
SETRED generic method |
|
snnrce()
|
General Interface for SNNRCE model |
|
SSLRDecisionTree()
|
General Interface Decision Tree model |
|
SSLRRandomForest()
|
General Interface Random Forest model |
|
train_generic()
|
FUNCTION TO TRAIN GENERIC MODEL |
|
triTraining()
|
General Interface for Tri-training model |
|
triTrainingCombine()
|
Combining the hypothesis |
|
triTrainingG()
|
Tri-training generic method |
|
TSVMSSLR()
|
General Interface for TSVM (Transductive SVM classifier using the convex concave procedure) model |
|
USMLeastSquaresClassifierSSLR()
|
General Interface for USMLeastSquaresClassifier (Updated Second Moment Least Squares Classifier) model |
|
WellSVMSSLR()
|
General Interface for WellSVM model |
|
wine
|
Wine recognition data |