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| Package | Description |
|---|---|
| org.apache.ignite.ml |
Root ML package.
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| org.apache.ignite.ml.clustering.gmm |
Contains Gauss Mixture Model clustering algorithm (see
GmmModel). |
| org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
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| org.apache.ignite.ml.composition |
Contains classes for ensemble of models implementation.
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| org.apache.ignite.ml.composition.bagging |
Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and
return a bagged version of them.
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| org.apache.ignite.ml.composition.boosting |
Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.
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| org.apache.ignite.ml.composition.combinators.parallel |
Contains parallel combinators of trainers and models.
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| org.apache.ignite.ml.composition.combinators.sequential |
Contains sequential combinators of trainers and models.
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| org.apache.ignite.ml.composition.stacking |
Contains classes used for training with stacking technique.
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| org.apache.ignite.ml.inference |
Root package for model inference functionality.
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| org.apache.ignite.ml.inference.builder |
Root package for model inference builders.
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| org.apache.ignite.ml.inference.parser |
Root package for model inference parsers.
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| org.apache.ignite.ml.inference.storage.descriptor |
Root package for inference model descriptor storages.
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| org.apache.ignite.ml.knn |
Contains main APIs for kNN algorithms.
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| org.apache.ignite.ml.knn.ann |
Contains main APIs for ANN classification algorithms.
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| org.apache.ignite.ml.knn.classification |
Contains main APIs for kNN classification algorithms.
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| org.apache.ignite.ml.knn.regression |
Contains helper classes for kNN regression algorithms.
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| org.apache.ignite.ml.mleap |
Base package for Mleap model parser.
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| org.apache.ignite.ml.multiclass |
Contains various multi-classifier models and trainers.
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| org.apache.ignite.ml.naivebayes.discrete |
Contains Bernoulli naive Bayes classifier.
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| org.apache.ignite.ml.naivebayes.gaussian |
Contains Gaussian naive Bayes classifier.
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| org.apache.ignite.ml.nn |
Contains neural networks and related classes.
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| org.apache.ignite.ml.optimization |
Contains implementations of optimization algorithms and related classes.
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| org.apache.ignite.ml.pipeline |
Contains Pipeline API.
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| org.apache.ignite.ml.recommendation |
Contains recommendation system framework.
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| org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
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| org.apache.ignite.ml.regressions.logistic |
Contains various logistic regressions.
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| org.apache.ignite.ml.sparkmodelparser |
Base package for Spark model parser.
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| org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
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| org.apache.ignite.ml.trainers |
Contains model trainers.
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| org.apache.ignite.ml.tree |
Root package for decision trees.
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| org.apache.ignite.ml.tree.randomforest.data |
Package contains helper data structures for random forest implementation.
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| org.apache.ignite.ml.xgboost |
Base package for XGBoost model parser, correspondent DTOs and util classes.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| ModelSignature
Signature that defines input/output types in Protobuf.
|
| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| ModelDescriptor
Model descriptor that encapsulates information about model,
ModelReader and ModelParser which
is required to build the model. |
| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
|---|
| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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| Class and Description |
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| Model
Inference model that can be used to make predictions.
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GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024