Package | Description |
---|---|
org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
|
org.apache.ignite.ml.composition.boosting |
Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.
|
org.apache.ignite.ml.knn.ann |
Contains main APIs for ANN classification algorithms.
|
org.apache.ignite.ml.naivebayes.compound |
Contains Compound naive Bayes classifier.
|
org.apache.ignite.ml.naivebayes.discrete |
Contains Bernoulli naive Bayes classifier.
|
org.apache.ignite.ml.naivebayes.gaussian |
Contains Gaussian naive Bayes classifier.
|
org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
org.apache.ignite.ml.regressions.logistic |
Contains various logistic regressions.
|
org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
|
org.apache.ignite.ml.tree |
Root package for decision trees.
|
org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
Modifier and Type | Class and Description |
---|---|
class |
KMeansModel
This class encapsulates result of clusterization by KMeans algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
GDBModel
GDB model.
|
Modifier and Type | Class and Description |
---|---|
class |
ANNClassificationModel
ANN model to predict labels in multi-class classification task.
|
Modifier and Type | Class and Description |
---|---|
class |
CompoundNaiveBayesModel
A compound Naive Bayes model which uses a composition of
GaussianNaiveBayesModel and DiscreteNaiveBayesModel . |
Modifier and Type | Class and Description |
---|---|
class |
DiscreteNaiveBayesModel
Discrete naive Bayes model which predicts result value
y belongs to a class C_k, k in [0..K] as
{@code p(C_k,y) =x_1*p_k1^x *... |
Modifier and Type | Class and Description |
---|---|
class |
GaussianNaiveBayesModel
Simple naive Bayes model which predicts result value
y belongs to a class C_k, k in [0..K] as {@code
p(C_k,y) = p(C_k)*p(y_1,C_k) *... |
Modifier and Type | Class and Description |
---|---|
class |
LinearRegressionModel
Simple linear regression model which predicts result value Y as a linear combination of input variables:
Y = weights * X + intercept.
|
Modifier and Type | Class and Description |
---|---|
class |
LogisticRegressionModel
Logistic regression (logit model) is a generalized linear model used for binomial regression.
|
Modifier and Type | Class and Description |
---|---|
class |
SVMLinearClassificationModel
Base class for SVM linear classification model.
|
Modifier and Type | Class and Description |
---|---|
class |
DecisionTreeModel
Base class for decision tree models.
|
Modifier and Type | Class and Description |
---|---|
class |
RandomForestModel
Random Forest Model class.
|
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Ignite Database and Caching Platform : ver. 2.12.0 Release Date : January 10 2022