|
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. |
|
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 tALSModel. |
|
tSVMModel
|
Generates an SVM-based classifier model that can be used by
tPredict to classify given elements. |
