Package | Description |
---|---|
org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
|
org.apache.ignite.ml.composition |
Contains classes for ensemble of models implementation.
|
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 |
Contains main APIs for kNN algorithms.
|
org.apache.ignite.ml.knn.ann |
Contains main APIs for ANN classification algorithms.
|
org.apache.ignite.ml.knn.classification |
Contains main APIs for kNN classification algorithms.
|
org.apache.ignite.ml.knn.regression |
Contains helper classes for kNN regression algorithms.
|
org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
org.apache.ignite.ml.regressions.logistic.binomial |
Contains binomial logistic regression.
|
org.apache.ignite.ml.regressions.logistic.multiclass |
Contains multi-class logistic regression.
|
org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
|
Modifier and Type | Class and Description |
---|---|
class |
KMeansModel
This class encapsulates result of clusterization by KMeans algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
Modifier and Type | Class and Description |
---|---|
static class |
GDBTrainer.GDBModel
GDB model.
|
Modifier and Type | Class and Description |
---|---|
class |
NNClassificationModel
Common methods and fields for all kNN and aNN models
to predict label based on neighbours' labels.
|
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 |
KNNClassificationModel
kNN algorithm model to solve multi-class classification task.
|
Modifier and Type | Class and Description |
---|---|
class |
KNNRegressionModel
This class provides kNN Multiple Linear Regression or Locally [weighted] regression (Simple and Weighted versions).
|
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 |
LogRegressionMultiClassModel
Base class for multi-classification model for set of Logistic Regression classifiers.
|
Modifier and Type | Class and Description |
---|---|
class |
SVMLinearBinaryClassificationModel
Base class for SVM linear classification model.
|
class |
SVMLinearMultiClassClassificationModel
Base class for multi-classification model for set of SVM classifiers.
|
Follow @ApacheIgnite
Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019