tALSModel
|
Generates an user-ranking-product associated matrix, based on given user-product
interactive data. |
tClassify
|
Predicts which class an element belongs to, based on the
classifier model generated by a model training component. |
tClassifySVM
|
Predicts which class an element belongs to, based on the
classifier model generated by tSVMModel. |
tDecisionTreeModel
|
Analyzes feature vectors usually prepared and provided by tModelEncoder to generate a classifier model that is used
by tPredict to classify given elements. |
tGradientBoostedTreeModel
|
Analyzes feature vectors usually prepared and provided by tModelEncoder to generate a classifier model that is used
by tPredict to classify given elements. |
tKMeansModel
|
Analyzes incoming datasets based on applying the K-Means
algorithm. |
tKMeansStrModel
|
Analyzes incoming datasets in near real-time, based on applying
the K-Means algorithm. |
tLinearRegressionModel
|
Builds a linear regression model using a training
dataset. |
tLogisticRegressionModel
|
Analyzes feature vectors usually pre-processed by tModelEncoder to generate a classifier model that is used
by tPredict to classify given elements. |
tMahoutClustering (deprecated)
|
Groups unlabeled numerical data into clusters that can reveal interesting patterns
or helps identifying abnormal data items in the data set. |
tModelEncoder
|
Performs featurization operations to transform data into the
format expected by the model training components such as tLogisticRegressionModel or tKMeansModel. |
tNaiveBayesModel
|
Generates a classifier model that is used by tPredict to classify given elements. |
tPredict
|
Predicts the situation of an element. |
tPredictCluster
|
Predicts the cluster of an element. |
tRandomForestModel
|
Analyzes feature vectors. |
tRecommend
|
Recommends products to users known to this model, based on the user-product
recommender model generated by tASLModel. |
tSVMModel
|
Generates an SVM-based classifier model that can be used by
tPredict to classify given elements. |