GridGain 8.9.4

Contains entry-point Ignite & HPC APIs.

Contains configuration-related classes.

Contains lifecycle-related classes.

Contains Job Scheduling functionality.

Contains threads-related utility classes.

Contains base GridGain configuration classes.

Contains Topic-based Messaging functionality.

Contains Event Subscription functionality together with various events emitted by Ignite.

Contains Compute Grid functionality.

Contains common classes for different AOP providers.

Contains all classes used by Spring AOP implementation.

Contains main Data Grid APIs.

Contains HRW-based cache affinity for partitioned cache.

Contains cache FIFO eviction policy implementations.

Contains cache randomized eviction policy implementations.

Contains implementation of Hibernate L2 cache.

Contains JNDI-based transaction manager lookup.

Contains WebSphere integrations.

Contains query-related annotations.

Contains cache store interfaces.

Contains commonly used helper classes

Contains persistent settings configuration

Contains classes responsible for handling sessions and communication with Cassandra

Contains mutations implementation, to store changes made inside Ignite transaction

Contains reference Hibernate-based cache store implementation.

Contains SQL dialects for different RDBMS.

Contains classes for Web Sessions Caching.

Contains cache API classes.

Contains cache conflicts API classes.

Contains database WAL classes.

Contains cache store API classes.

Contains cache file local store API classes.

Contains Ignite Thin Client API classes.

Contains main Managed Services APIs.

Contains Ignite Streamer classes.

Contains APIs for security, authentication, and authorization.

Contains annotations for Dynamic MBeans.

Contains APIs for checkpoint SPI.

Contains JDBC implementation for checkpoint SPI.

Contains S3-based implementation for checkpoint SPI.

Contains APIs for collision SPI.

Contains job stealing collision SPI implementation.

Contains priority based collision SPI implementation.

Contains APIs for indexing SPI.

Contains APIs for load balancing SPI.

Contains default round-robin implementation for load balancing SPI.

Contains APIs for grid communication SPI.

Contains implementation messages.

Contains APIs for deployment SPI.

Contains URI-based deployment SPI implementation.

Contains APIs for topology manager SPI.

Contains default TCP/IP implementation for discovery SPI.

Contains Apache jclouds based IP finder.

Contains Google Cloud Storage IP finder.

Contains Kubernetes IP finder implementation.

Contains AWS S3-based IP finder.

Contains shared filesystem-based IP finder.

Contains TCP Discovery IP Finder uses Apache ZooKeeper (ZK) to locate peer nodes.

Contains APIs for failover SPI.

Contains job stealing failover SPI.

Contains APIs for event storage SPI.

Contains common classes and interfaces for metric SPI implementations.

Contains push to log implementation of MetricExporterSpi.

Contains common classes and interfaces for system view SPI implementations.

Contains system view implementations.

Contains Failure handling public API with standard FailureHandler implementations.

Contains segmentation "split-brain" related classes.

Contains plugins management API.

Contains platform plugins management API.

Contains logging functionality used throughout the system.

Contains Jakarta commons logging implementation for logging.

Contains default Log4j2 implementation for logging.

Contains Ignite runtime startup classes.

Contains servlet-based startup.

Contains various supported marshallers.

Contains marshaller API classes.

Contains Ignite Binary Objects API classes.

Contains implementation of Spring cache abstraction and @Cacheable annotation.

Contains classes to support integration with Apache Mesos.

Contains classes to support integration with Apache Hadoop Yarn.

Contains platform-related classes.

Contains .Net platform-related classes.

Contains classes that provide client-independent access to the Ignite operations required by Spring Data.

Package contains Apache Ignite Spring Data integration.

Package includes classes that integrates with Apache Ignite SQL engine.

Root ML package.

Contains Gauss Mixture Model clustering algorithm (see GmmModel).

Contains classes for ensemble of models implementation.

Contains Gradient Boosting regression and classification abstract classes allowing regressor type selecting in child classes.

Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.

Contains implementation of Stub for convergence checking.

Contains various combinators of trainers and models.

Contains sequential combinators of trainers and models.

Contains classes used for training with stacking technique.

Package for helper classes over features such as ObjectHistogram or FeatureMeta.

Package contains default implementations of Vectorizer.

Base package for bootstrapped implementation of machine learning dataset.

Contains util classes used in cache based implementation of dataset.

Package that contains basic primitives build on top of Dataset.

Contains partition context builders.

Contains implementation of partition context.

Package contains environment utils for ML algorithms.

Package contains several logging strategy realisations.

Root GA package (GA Grid)

Contains functions used for GA Grid

Contains utils for GA Grid

Root package for model inference builders.

Root package for model inference readers.

Root package for inference model descriptor storages.

Package contains classes for thin client operations with model storage.

Contains main APIs for kNN algorithms.

Contains main APIs for kNN classification algorithms.

Contains util functionality for kNN algorithms.

Contains main APIs for matrix/vector algebra.

Contains exceptions for distributed code algebra.

Contains exceptions for preprocessing.

Contains iterative algorithms for solving linear systems.

Contains classes for vector/matrix algebra.

Contains several matrix implementations.

Contains vector related classes.

Contains several vector storages.

Some math utils.

Contains various multi-classifier models and trainers.

Contains Bernoulli naive Bayes classifier.

Contains neural networks and related classes.

Contains multilayer perceptron parameters initializers.

Contains update calculators.

Base package for machine learning preprocessing classes.

Contains Developer API preprocessors.

Contains one hot encoding preprocessor.

Contains Imputer preprocessor.

Contains Min Max Scaler preprocessor.

Contains Standard scaler preprocessor.

Contains util classes used in recommendation system framework.

Contains various linear regressions.

Root package for dataset splitters, cross validation and search through parameters.

Root package for parameter grid.

Util classes used for score calculation.

Root package for metrics.

Root package for exceptions.

Root package for dataset splitters and cross validation.

Base package for Spark model parser.

Contains some internal utility structures.

Contains internal APIs for dataset pre-processing.

Contains model trainers.

Root package for decision trees.

Contains data and data builder required for decision tree trainers built on top of partition based dataset.

Contains Gini impurity measure and calculator.

Contains util classes used in decision tree impurity calculators.

Contains random forest implementation classes.

Contains implementation of impurity computers based on histograms.

Contains implementation of statistics computers for Random Forest.

Contains utility classes for data streams generation.

Contains generators of pseudo-random scalars in according to specific disctribution.

Contains classes for predefined data stream generators.

Contains Ignite plugins system integration classes.

Base package for XGBoost model parser implementation.

TensorFlow integration that allows to start and maintain TensorFlow cluster on top of Apache Ignite cluster infrastructure.

Contains specifications that describes TensorFlow cluster configuration.

Util components that are used in TensorFlow cluster package.

The part of TensorFlow integration infrastructure that allows to start and maintain abstract long-running processes.

Util package that contains util classes used in long-running tasks.

Contains native process task that encapsulates the logic of starting native process.

This package contains classes that allow to use command line interface to submit jobs into TensorFlow in Apache Ignite infrastructure.

Util classes used in org.apache.ignite.tensorflow package.

Contains APIs for encryption SPI.

Contains no-op encryption SPI implementation.

Contains Opencensus based implementation of MetricExporterSpi.

Contains common classes and interfaces for tracing SPI implementations.

Contains API for OpenCensus Tracing framework integration.

Contains data center replication API classes.

Contains data center replication file system store API classes.

Contains interop API.

Contains security API classes.

Contains JAAS API classes.

Contains segmentation API classes.

Contains shared file system segmentation resolver implementation.

Contains Product and License related functionality.

Contains base GridGain database interfaces.

Contains two-phases copy strategy implementation.

Contains GridGain database snapshot SPI file implementation for remote WAL.

This package contains classes related to Rolling Upgrade process.

Package contains public interfaces for maintenance mechanism.

Contains Kubernetes configuration classes.