|
| ||||
| |||||
| Package | Description |
|---|---|
| org.apache.ignite |
Contains entry-point Ignite & HPC APIs.
|
| org.apache.ignite.cluster |
Contains cluster-related classes.
|
| org.apache.ignite.configuration |
Contains configuration-related classes.
|
| org.apache.ignite.lang |
Contains general language constructs and functional APIs for distributed computations.
|
| org.apache.ignite.lifecycle |
Contains lifecycle-related classes.
|
| org.apache.ignite.resources |
Contains resource injection annotations.
|
| org.apache.ignite.scheduler |
Contains Job Scheduling functionality.
|
| org.apache.ignite.spi |
Contains common classes and interfaces for SPI implementations.
|
| org.apache.ignite.thread |
Contains threads-related utility classes.
|
| org.gridgain.grid |
Contains base API classes.
|
| org.gridgain.grid.configuration |
Contains base GridGain configuration classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.messaging |
Contains Topic-based Messaging functionality.
|
| Package | Description |
|---|---|
| org.apache.ignite.events |
Contains Event Subscription functionality together with various events emitted by Ignite.
|
| org.gridgain.grid.events |
Contains events API classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.compute |
Contains Compute Grid functionality.
|
| org.apache.ignite.compute.gridify |
Contains APIs utilized for AOP-based grid-enabling.
|
| org.apache.ignite.compute.gridify.aop |
Contains common classes for different AOP providers.
|
| org.apache.ignite.compute.gridify.aop.aspectj |
Contains all classes used by AspectJ AOP implementation.
|
| org.apache.ignite.compute.gridify.aop.spring |
Contains all classes used by Spring AOP implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.cache |
Contains main Data Grid APIs.
|
| org.apache.ignite.cache.affinity |
Contains cache node affinity implementations.
|
| org.apache.ignite.cache.affinity.rendezvous |
Contains HRW-based cache affinity for partitioned cache.
|
| org.apache.ignite.cache.eviction |
Contains cache eviction policy implementations.
|
| org.apache.ignite.cache.eviction.fifo |
Contains cache FIFO eviction policy implementations.
|
| org.apache.ignite.cache.eviction.lru |
Contains cache LRU eviction policy implementations.
|
| org.apache.ignite.cache.eviction.random |
Contains cache randomized eviction policy implementations.
|
| org.apache.ignite.cache.eviction.sorted |
Contains cache sorted eviction policy implementation.
|
| org.apache.ignite.cache.hibernate |
Contains implementation of Hibernate L2 cache.
|
| org.apache.ignite.cache.jta |
Contains JTA (Java Transaction API) related public classes and interfaces.
|
| org.apache.ignite.cache.jta.jndi |
Contains JNDI-based transaction manager lookup.
|
| org.apache.ignite.cache.jta.reflect |
Contains reflection-based transaction manager lookup.
|
| org.apache.ignite.cache.jta.websphere |
Contains WebSphere integrations.
|
| org.apache.ignite.cache.query |
Contains APIs for creating and executing cache queries.
|
| org.apache.ignite.cache.query.annotations |
Contains query-related annotations.
|
| org.apache.ignite.cache.query.exceptions |
Contains query-related exceptions.
|
| org.apache.ignite.cache.store |
Contains cache store interfaces.
|
| org.apache.ignite.cache.store.cassandra |
Contains
CacheStore implementation backed by Cassandra database |
| org.apache.ignite.cache.store.cassandra.common |
Contains commonly used helper classes
|
| org.apache.ignite.cache.store.cassandra.datasource |
Contains data source implementation
|
| org.apache.ignite.cache.store.cassandra.persistence |
Contains persistent settings configuration
|
| org.apache.ignite.cache.store.cassandra.serializer |
Contains serializers implementation, to store BLOBs into Cassandra
|
| org.apache.ignite.cache.store.cassandra.session |
Contains classes responsible for handling sessions and communication with Cassandra
|
| org.apache.ignite.cache.store.cassandra.session.pool |
Contains session pool implenetation for Cassandra sessions
|
| org.apache.ignite.cache.store.cassandra.session.transaction |
Contains mutations implementation, to store changes made inside Ignite transaction
|
| org.apache.ignite.cache.store.cassandra.utils |
Contains utility classes
|
| org.apache.ignite.cache.store.hibernate |
Contains reference Hibernate-based cache store implementation.
|
| org.apache.ignite.cache.store.jdbc |
Contains reference JDBC-based cache store implementation.
|
| org.apache.ignite.cache.store.jdbc.dialect |
Contains SQL dialects for different RDBMS.
|
| org.apache.ignite.cache.store.spring |
Contains cache store session listener based on Spring transaction management.
|
| org.apache.ignite.cache.websession |
Contains classes for Web Sessions Caching.
|
| org.apache.ignite.transactions |
Contains transaction-related classes.
|
| org.gridgain.grid.cache |
Contains cache API classes.
|
| org.gridgain.grid.cache.compress |
Contains cache entry compression Zstandard-based implementation.
|
| org.gridgain.grid.cache.conflict |
Contains cache conflicts API classes.
|
| org.gridgain.grid.cache.db.wal |
Contains database WAL CRC classes.
|
| org.gridgain.grid.cache.db.wal.crc |
Contains database WAL classes.
|
| org.gridgain.grid.cache.dr |
Contains cache data center replication API classes.
|
| org.gridgain.grid.cache.store |
Contains cache store API classes.
|
| org.gridgain.grid.cache.store.jdbc |
Contains cache JDBC store API classes.
|
| org.gridgain.grid.cache.store.local |
Contains cache file local store API classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.client |
Contains Ignite Thin Client API classes.
|
| org.apache.ignite.client.events |
| Package | Description |
|---|---|
| org.apache.ignite.services |
Contains main Managed Services APIs.
|
| Package | Description |
|---|---|
| org.apache.ignite.stream |
Contains Ignite Streamer classes.
|
| org.apache.ignite.stream.socket |
Contains socket streamer implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.plugin.security |
Contains APIs for security, authentication, and authorization.
|
| org.apache.ignite.ssl |
Contains classes for working with SSL.
|
| Package | Description |
|---|---|
| org.apache.ignite.mxbean |
Contains annotations for Dynamic MBeans.
|
| Package | Description |
|---|---|
| org.apache.ignite.mem |
| Package | Description |
|---|---|
| org.apache.ignite.spi.checkpoint |
Contains APIs for checkpoint SPI.
|
| org.apache.ignite.spi.checkpoint.cache |
Contains cache-based implementation for checkpoint SPI.
|
| org.apache.ignite.spi.checkpoint.jdbc |
Contains JDBC implementation for checkpoint SPI.
|
| org.apache.ignite.spi.checkpoint.noop |
Contains default no-op checkpoint SPI implementation.
|
| org.apache.ignite.spi.checkpoint.s3 |
Contains S3-based implementation for checkpoint SPI.
|
| org.apache.ignite.spi.checkpoint.sharedfs |
Contains shared file system implementation for checkpoint SPI.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.collision |
Contains APIs for collision SPI.
|
| org.apache.ignite.spi.collision.fifoqueue |
Contains FIFO based collision SPI implementation.
|
| org.apache.ignite.spi.collision.jobstealing |
Contains job stealing collision SPI implementation.
|
| org.apache.ignite.spi.collision.noop |
Contains default no-op collision SPI implementation.
|
| org.apache.ignite.spi.collision.priorityqueue |
Contains priority based collision SPI implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.indexing |
Contains APIs for indexing SPI.
|
| org.apache.ignite.spi.indexing.noop |
Contains default no-op indexing SPI implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.loadbalancing |
Contains APIs for load balancing SPI.
|
| org.apache.ignite.spi.loadbalancing.adaptive |
Contains adaptive load balancing SPI.
|
| org.apache.ignite.spi.loadbalancing.roundrobin |
Contains default round-robin implementation for load balancing SPI.
|
| org.apache.ignite.spi.loadbalancing.weightedrandom |
Contains weighted random-base implementation for load balancing SPI.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.communication |
Contains APIs for grid communication SPI.
|
| org.apache.ignite.spi.communication.tcp |
Contains default TCP/IP-based implementation for communication SPI.
|
| org.apache.ignite.spi.communication.tcp.messages |
Contains implementation messages.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.deployment |
Contains APIs for deployment SPI.
|
| org.apache.ignite.spi.deployment.local |
Contains default local deployment SPI implementation.
|
| org.apache.ignite.spi.deployment.uri |
Contains URI-based deployment SPI implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.discovery |
Contains APIs for topology manager SPI.
|
| org.apache.ignite.spi.discovery.isolated |
Contains implementation of special "isolated" mode for single-node cluster.
|
| org.apache.ignite.spi.discovery.tcp |
Contains default TCP/IP implementation for discovery SPI.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder |
Contains IP finder interface and adapter.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.cloud |
Contains Apache jclouds based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.elb |
Contains AWS ELB-based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.gce |
Contains Google Cloud Storage IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.jdbc |
Contains JDBC IP finder implementation.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.kubernetes |
Contains Kubernetes IP finder implementation.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.multicast |
Contains multicast-based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.s3 |
Contains AWS S3-based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.s3.encrypt |
Contains Encryption services.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.sharedfs |
Contains shared filesystem-based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.vm |
Contains local JVM-based IP finder.
|
| org.apache.ignite.spi.discovery.tcp.ipfinder.zk |
Contains TCP Discovery IP Finder uses Apache ZooKeeper (ZK) to locate peer nodes.
|
| org.apache.ignite.spi.discovery.zk |
Contains Zookeeper Discovery Spi classes and interfaces.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.failover |
Contains APIs for failover SPI.
|
| org.apache.ignite.spi.failover.always |
Contains default "always" failover SPI.
|
| org.apache.ignite.spi.failover.jobstealing |
Contains job stealing failover SPI.
|
| org.apache.ignite.spi.failover.never |
Contains "never" failover SPI.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.eventstorage |
Contains APIs for event storage SPI.
|
| org.apache.ignite.spi.eventstorage.memory |
Contains default in-memory implementation for event storage SPI.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.metric |
Contains common classes and interfaces for metric SPI implementations.
|
| org.apache.ignite.spi.metric.jmx |
Contains JMX based implementation of MetricExporterSpi.
|
| org.apache.ignite.spi.metric.log |
Contains push to log implementation of MetricExporterSpi.
|
| org.apache.ignite.spi.metric.noop |
Contains no-op implementation of MetricExporterSpi.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.systemview |
Contains common classes and interfaces for system view SPI implementations.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.systemview.view |
Contains system view implementations.
|
| org.apache.ignite.spi.systemview.view.datastructures |
| Package | Description |
|---|---|
| org.apache.ignite.failure |
Contains Failure handling public API with standard FailureHandler implementations.
|
| Package | Description |
|---|---|
| org.apache.ignite.plugin.segmentation |
Contains segmentation "split-brain" related classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.plugin |
Contains plugins management API.
|
| org.apache.ignite.plugin.extensions.communication |
Contains extendable components for communication.
|
| org.apache.ignite.plugin.platform |
Contains platform plugins management API.
|
| Package | Description |
|---|---|
| org.apache.ignite.logger |
Contains logging functionality used throughout the system.
|
| org.apache.ignite.logger.java |
Contains Java logging implementation for logging.
|
| org.apache.ignite.logger.jcl |
Contains Jakarta commons logging implementation for logging.
|
| org.apache.ignite.logger.log4j |
Contains default Log4j implementation for logging.
|
| org.apache.ignite.logger.log4j2 |
Contains default Log4j2 implementation for logging.
|
| org.apache.ignite.logger.slf4j |
Contains SLF4J implementation for logging.
|
| Package | Description |
|---|---|
| org.apache.ignite.startup |
Contains Ignite runtime startup classes.
|
| org.apache.ignite.startup.cmdline |
Contains default command line startup.
|
| org.apache.ignite.startup.servlet |
Contains servlet-based startup.
|
| Package | Description |
|---|---|
| org.apache.ignite.marshaller |
Contains various supported marshallers.
|
| org.apache.ignite.marshaller.jdk |
Contains JDK java.io based marshaller.
|
| org.gridgain.grid.marshaller |
Contains marshaller API classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.binary |
Contains Ignite Binary Objects API classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.cache.spring |
Contains implementation of Spring cache abstraction and
@Cacheable annotation. |
| org.apache.ignite.transactions.spring |
Contains implementation of Spring transaction manager.
|
| Package | Description |
|---|---|
| org.apache.ignite.mesos |
Contains classes to support integration with Apache Mesos.
|
| org.apache.ignite.mesos.resource |
Contains classes provide access to resources.
|
| Package | Description |
|---|---|
| org.apache.ignite.yarn |
Contains classes to support integration with Apache Hadoop Yarn.
|
| org.apache.ignite.yarn.utils |
Utility and helper classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.platform |
Contains platform-related classes.
|
| org.apache.ignite.platform.cpp |
Contains C++ platform-related classes.
|
| org.apache.ignite.platform.dotnet |
Contains .Net platform-related classes.
|
| Package | Description |
|---|---|
| org.apache.ignite.springdata.proxy |
Contains classes that provide client-independent access to the Ignite operations required by Spring Data.
|
| Package | Description |
|---|---|
| org.apache.ignite.springdata22.repository |
Package contains Apache Ignite Spring Data integration.
|
| org.apache.ignite.springdata22.repository.config |
Package includes Spring Data integration related configuration files.
|
| org.apache.ignite.springdata22.repository.query |
Package includes classes that integrates with Apache Ignite SQL engine.
|
| org.apache.ignite.springdata22.repository.support |
Package contains supporting files required by Spring Data framework.
|
| Package | Description |
|---|---|
| org.apache.ignite.ml |
Root ML package.
|
| org.apache.ignite.ml.clustering |
Contains clustering algorithms.
|
| org.apache.ignite.ml.clustering.gmm |
Contains Gauss Mixture Model clustering algorithm (see
GmmModel). |
| 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.bagging |
Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and
return a bagged version of them.
|
| 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.composition.boosting.convergence |
Package contains implementation of convergency checking algorithms for gradient boosting.
|
| org.apache.ignite.ml.composition.boosting.convergence.mean |
Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.median |
Contains implementation of convergence checking computer by median of medians of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.simple |
Contains implementation of Stub for convergence checking.
|
| org.apache.ignite.ml.composition.boosting.loss |
Contains loss functions for Gradient Boosting algorithms.
|
| org.apache.ignite.ml.composition.combinators |
Contains various combinators of trainers and models.
|
| org.apache.ignite.ml.composition.combinators.parallel |
Contains parallel combinators of trainers and models.
|
| org.apache.ignite.ml.composition.combinators.sequential |
Contains sequential combinators of trainers and models.
|
| org.apache.ignite.ml.composition.predictionsaggregator |
Contains classes for several predictions aggregation strategies
working with predictions vector from models ensemble.
|
| org.apache.ignite.ml.composition.stacking |
Contains classes used for training with stacking technique.
|
| org.apache.ignite.ml.dataset |
Base package for machine learning dataset classes.
|
| org.apache.ignite.ml.dataset.feature |
Package for helper classes over features such as
ObjectHistogram or
FeatureMeta. |
| org.apache.ignite.ml.dataset.feature.extractor |
Package for upstream object vectorizations.
|
| org.apache.ignite.ml.dataset.feature.extractor.impl |
Package contains default implementations of
Vectorizer. |
| org.apache.ignite.ml.dataset.impl |
Base package for implementations of machine learning dataset.
|
| org.apache.ignite.ml.dataset.impl.bootstrapping |
Base package for bootstrapped implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.impl.cache |
Base package for cache based implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.impl.cache.util |
Contains util classes used in cache based implementation of dataset.
|
| org.apache.ignite.ml.dataset.impl.local |
Base package for local implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.primitive |
Package that contains basic primitives build on top of
Dataset. |
| org.apache.ignite.ml.dataset.primitive.builder |
Base package for partition
data and context builders. |
| org.apache.ignite.ml.dataset.primitive.builder.context |
Contains partition
context builders. |
| org.apache.ignite.ml.dataset.primitive.builder.data |
Contains partition
data builders. |
| org.apache.ignite.ml.dataset.primitive.context |
Contains implementation of partition
context. |
| org.apache.ignite.ml.dataset.primitive.data |
Contains implementation of partition
data. |
| org.apache.ignite.ml.environment |
Package contains environment utils for ML algorithms.
|
| org.apache.ignite.ml.environment.deploy |
Package contains user-defined classes deploy support tools.
|
| org.apache.ignite.ml.environment.logging |
Package contains several logging strategy realisations.
|
| org.apache.ignite.ml.environment.parallelism |
Package contains realisations of parallelism strategies for multi-thread algorithms.
|
| org.apache.ignite.ml.genetic |
Root GA package (GA Grid)
|
| org.apache.ignite.ml.genetic.cache |
Contains cache configurations for GA Grid
|
| org.apache.ignite.ml.genetic.functions |
Contains functions used for GA Grid
|
| org.apache.ignite.ml.genetic.parameter |
Contains parameters used for GA Grid
|
| org.apache.ignite.ml.genetic.utils |
Contains utils for GA Grid
|
| org.apache.ignite.ml.inference |
Root package for model inference functionality.
|
| org.apache.ignite.ml.inference.builder |
Root package for model inference builders.
|
| org.apache.ignite.ml.inference.parser |
Root package for model inference parsers.
|
| org.apache.ignite.ml.inference.reader |
Root package for model inference readers.
|
| org.apache.ignite.ml.inference.storage |
Root package for inference model storages.
|
| org.apache.ignite.ml.inference.storage.descriptor |
Root package for inference model descriptor storages.
|
| org.apache.ignite.ml.inference.storage.model |
Root package for inference model storages.
|
| org.apache.ignite.ml.inference.storage.model.thinclient |
Package contains classes for thin client operations with model storage.
|
| org.apache.ignite.ml.inference.util |
Root package for util classes used in
org.apache.ignite.ml.inference package. |
| 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.knn.utils |
Contains util functionality for kNN algorithms.
|
| org.apache.ignite.ml.knn.utils.indices |
Contains utils functionality for indices in kNN algorithms.
|
| org.apache.ignite.ml.math |
Contains main APIs for matrix/vector algebra.
|
| org.apache.ignite.ml.math.distances |
Contains main APIs for distances.
|
| org.apache.ignite.ml.math.exceptions |
Contains exceptions for distributed code algebra.
|
| org.apache.ignite.ml.math.exceptions.knn |
Contains exceptions for kNN algorithms.
|
| org.apache.ignite.ml.math.exceptions.preprocessing |
Contains exceptions for preprocessing.
|
| org.apache.ignite.ml.math.functions |
Contains serializable functions for distributed code algebra.
|
| org.apache.ignite.ml.math.isolve |
Contains iterative algorithms for solving linear systems.
|
| org.apache.ignite.ml.math.isolve.lsqr |
Contains LSQR algorithm implementation.
|
| org.apache.ignite.ml.math.primitives |
Contains classes for vector/matrix algebra.
|
| org.apache.ignite.ml.math.primitives.matrix |
Contains matrix related classes.
|
| org.apache.ignite.ml.math.primitives.matrix.impl |
Contains several matrix implementations.
|
| org.apache.ignite.ml.math.primitives.matrix.storage |
Contains several matrix storages.
|
| org.apache.ignite.ml.math.primitives.vector |
Contains vector related classes.
|
| org.apache.ignite.ml.math.primitives.vector.impl |
Contains several vector implementations.
|
| org.apache.ignite.ml.math.primitives.vector.storage |
Contains several vector storages.
|
| org.apache.ignite.ml.math.stat |
Contains utility classes for distributions.
|
| org.apache.ignite.ml.math.util |
Some math utils.
|
| org.apache.ignite.ml.mleap |
Base package for Mleap model parser.
|
| org.apache.ignite.ml.multiclass |
Contains various multi-classifier models and trainers.
|
| org.apache.ignite.ml.naivebayes |
Contains various naive Bayes classifiers.
|
| 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.nn |
Contains neural networks and related classes.
|
| org.apache.ignite.ml.nn.architecture |
Contains multilayer perceptron architecture classes.
|
| org.apache.ignite.ml.nn.initializers |
Contains multilayer perceptron parameters initializers.
|
| org.apache.ignite.ml.optimization |
Contains implementations of optimization algorithms and related classes.
|
| org.apache.ignite.ml.optimization.updatecalculators |
Contains update calculators.
|
| org.apache.ignite.ml.pipeline |
Contains Pipeline API.
|
| org.apache.ignite.ml.preprocessing |
Base package for machine learning preprocessing classes.
|
| org.apache.ignite.ml.preprocessing.binarization |
Contains binarization preprocessor.
|
| org.apache.ignite.ml.preprocessing.developer |
Contains Developer API preprocessors.
|
| org.apache.ignite.ml.preprocessing.encoding |
Contains encoding preprocessors.
|
| org.apache.ignite.ml.preprocessing.encoding.onehotencoder |
Contains one hot encoding preprocessor.
|
| org.apache.ignite.ml.preprocessing.encoding.stringencoder |
Contains string encoding preprocessor.
|
| org.apache.ignite.ml.preprocessing.imputing |
Contains Imputer preprocessor.
|
| org.apache.ignite.ml.preprocessing.maxabsscaling |
Contains Max Abs Scaler preprocessor.
|
| org.apache.ignite.ml.preprocessing.minmaxscaling |
Contains Min Max Scaler preprocessor.
|
| org.apache.ignite.ml.preprocessing.normalization |
Contains Normalizer preprocessor.
|
| org.apache.ignite.ml.preprocessing.standardscaling |
Contains Standard scaler preprocessor.
|
| org.apache.ignite.ml.recommendation |
Contains recommendation system framework.
|
| org.apache.ignite.ml.recommendation.util |
Contains util classes used in recommendation system framework.
|
| org.apache.ignite.ml.regressions |
Contains various regressions.
|
| org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
| org.apache.ignite.ml.regressions.logistic |
Contains various logistic regressions.
|
| org.apache.ignite.ml.selection |
Root package for dataset splitters, cross validation and search through parameters.
|
| org.apache.ignite.ml.selection.cv |
Root package for cross-validation algorithms.
|
| org.apache.ignite.ml.selection.paramgrid |
Root package for parameter grid.
|
| org.apache.ignite.ml.selection.scoring |
Root package for score calculators.
|
| org.apache.ignite.ml.selection.scoring.cursor |
Util classes used for score calculation.
|
| org.apache.ignite.ml.selection.scoring.evaluator |
Package for model evaluator classes.
|
| org.apache.ignite.ml.selection.scoring.metric |
Root package for metrics.
|
| org.apache.ignite.ml.selection.scoring.metric.classification |
Root package for classification metrics.
|
| org.apache.ignite.ml.selection.scoring.metric.exceptions |
Root package for exceptions.
|
| org.apache.ignite.ml.selection.scoring.metric.regression |
Root package for regression metrics.
|
| org.apache.ignite.ml.selection.split |
Root package for dataset splitters and cross validation.
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| org.apache.ignite.ml.selection.split.mapper |
Root package for mappers used in dataset splitters.
|
| org.apache.ignite.ml.sparkmodelparser |
Base package for Spark model parser.
|
| org.apache.ignite.ml.sql |
Contains util classes that help to work with machine learning models in SQL and train models on data from SQL tables.
|
| org.apache.ignite.ml.structures |
Contains some internal utility structures.
|
| org.apache.ignite.ml.structures.partition |
Contains internal APIs for dataset partitioned labeled datasets.
|
| org.apache.ignite.ml.structures.preprocessing |
Contains internal APIs for dataset pre-processing.
|
| org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
|
| org.apache.ignite.ml.trainers |
Contains model trainers.
|
| org.apache.ignite.ml.trainers.transformers |
Various upstream transformers.
|
| org.apache.ignite.ml.tree |
Root package for decision trees.
|
| org.apache.ignite.ml.tree.boosting |
Contains implementation of gradient boosting on trees.
|
| org.apache.ignite.ml.tree.data |
Contains data and data builder required for decision tree trainers built on top of partition based dataset.
|
| org.apache.ignite.ml.tree.impurity |
Root package for decision tree impurity measures and calculators.
|
| org.apache.ignite.ml.tree.impurity.gini |
Contains Gini impurity measure and calculator.
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| org.apache.ignite.ml.tree.impurity.mse |
Contains mean squared error impurity measure and calculator.
|
| org.apache.ignite.ml.tree.impurity.util |
Contains util classes used in decision tree impurity calculators.
|
| org.apache.ignite.ml.tree.leaf |
Root package for decision trees leaf builders.
|
| org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
| org.apache.ignite.ml.tree.randomforest.data |
Package contains helper data structures for random forest implementation.
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| org.apache.ignite.ml.tree.randomforest.data.impurity |
Contains implementation of impurity computers based on histograms.
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| org.apache.ignite.ml.tree.randomforest.data.impurity.basic |
Contains implementation of basic classes for impurity computers.
|
| org.apache.ignite.ml.tree.randomforest.data.statistics |
Contains implementation of statistics computers for Random Forest.
|
| org.apache.ignite.ml.util |
Contains some utils for ML module.
|
| org.apache.ignite.ml.util.generators |
Contains utility classes for data streams generation.
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| org.apache.ignite.ml.util.generators.primitives |
Contains primitives like random scalars and random vector generators for composing own data stream generator.
|
| org.apache.ignite.ml.util.generators.primitives.scalar |
Contains generators of pseudo-random scalars in according to specific disctribution.
|
| org.apache.ignite.ml.util.generators.primitives.vector |
Contains generators of pseudo-random vectors in according to specific disctribution.
|
| org.apache.ignite.ml.util.generators.standard |
Contains classes for predefined data stream generators.
|
| org.apache.ignite.ml.util.genetic |
Contains some genetic algorithms for discrete optimization task in ML module locally.
|
| org.apache.ignite.ml.util.plugin |
Contains Ignite plugins system integration classes.
|
| org.apache.ignite.ml.xgboost |
Base package for XGBoost model parser, correspondent DTOs and util classes.
|
| org.apache.ignite.ml.xgboost.parser |
Base package for XGBoost model parser implementation.
|
| org.apache.ignite.ml.xgboost.parser.visitor |
Base package for XGBoost model parser ANTLR visitor.
|
| Package | Description |
|---|---|
| org.apache.ignite.tensorflow |
TensorFlow integration that allows to start and maintain TensorFlow cluster on top of Apache Ignite cluster
infrastructure.
|
| org.apache.ignite.tensorflow.cluster |
TensorFlow integration API that allows to start and maintain TensorFlow cluster using infrastructure tools from
package
org.apache.ignite.tensorflow.core. |
| org.apache.ignite.tensorflow.cluster.spec |
Contains specifications that describes TensorFlow cluster configuration.
|
| org.apache.ignite.tensorflow.cluster.tfrunning |
Additional "running" layer on top of Python running layer of infrastructure.
|
| org.apache.ignite.tensorflow.cluster.util |
Util components that are used in TensorFlow cluster package.
|
| org.apache.ignite.tensorflow.core |
TensorFlow integration core package that provides infrastructure layers that allows TensorFlow cluster to start and
be maintained.
|
| org.apache.ignite.tensorflow.core.longrunning |
The part of TensorFlow integration infrastructure that allows to start and maintain abstract long-running processes.
|
| org.apache.ignite.tensorflow.core.longrunning.task |
Contains long-running process tasks that encapsulates the logic of starting, pinging and stopping a long-running
process.
|
| org.apache.ignite.tensorflow.core.longrunning.task.util |
Util package that contains util classes used in long-running tasks.
|
| org.apache.ignite.tensorflow.core.nativerunning |
The part of TensorFlow integration infrastructure that allows to start and maintain abstract native processes.
|
| org.apache.ignite.tensorflow.core.nativerunning.task |
Contains native process task that encapsulates the logic of starting native process.
|
| org.apache.ignite.tensorflow.core.util |
Util classes used in other
org.apache.ignite.tensorflow.core classes. |
| org.apache.ignite.tensorflow.submitter |
This package contains classes that allow to use command line interface to submit jobs into TensorFlow in Apache
Ignite infrastructure.
|
| org.apache.ignite.tensorflow.submitter.command |
This package contains commands that command line tool provides.
|
| org.apache.ignite.tensorflow.util |
Util classes used in
org.apache.ignite.tensorflow package. |
| Package | Description |
|---|---|
| org.apache.ignite.spi.encryption |
Contains APIs for encryption SPI.
|
| org.apache.ignite.spi.encryption.keystore |
Contains encryption SPI implementation based on standard jdk keystore.
|
| org.apache.ignite.spi.encryption.noop |
Contains no-op encryption SPI implementation.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.metric.opencensus |
Contains Opencensus based implementation of MetricExporterSpi.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.tracing |
Contains common classes and interfaces for tracing SPI implementations.
|
| Package | Description |
|---|---|
| org.apache.ignite.spi.tracing.opencensus |
Contains API for OpenCensus Tracing framework integration.
|
| Package | Description |
|---|---|
| org.gridgain.grid.dr |
Contains data center replication API classes.
|
| org.gridgain.grid.dr.store |
Contains data center replication store API classes.
|
| org.gridgain.grid.dr.store.fs |
Contains data center replication file system store API classes.
|
| org.gridgain.grid.dr.store.memory |
Contains data center replication in-memory store API classes.
|
| Package | Description |
|---|---|
| org.gridgain.grid.interop |
Contains interop API.
|
| org.gridgain.grid.interop.cpp |
Contains interop API for CPP platform.
|
| Package | Description |
|---|---|
| org.gridgain.grid.security |
Contains security API classes.
|
| org.gridgain.grid.security.certificate |
Contains X.509 Certificate Authenticator classes.
|
| org.gridgain.grid.security.jaas |
Contains JAAS API classes.
|
| org.gridgain.grid.security.passcode |
Contains passcode API classes.
|
| Package | Description |
|---|---|
| org.gridgain.grid.segmentation |
Contains segmentation API classes.
|
| org.gridgain.grid.segmentation.reachability |
Contains segmentation resolver based on
InetAddress.isReachable(). |
| org.gridgain.grid.segmentation.sharedfs |
Contains shared file system segmentation resolver implementation.
|
| org.gridgain.grid.segmentation.tcp |
Contains TCP segmentation resolver implementation.
|
| Package | Description |
|---|---|
| org.gridgain.grid.product |
Contains Product and License related functionality.
|
| Package | Description |
|---|---|
| org.gridgain.grid.persistentstore |
Contains base GridGain database interfaces.
|
| org.gridgain.grid.persistentstore.snapshot.file |
Contains base GridGain database snapshot SPI file implementation.
|
| org.gridgain.grid.persistentstore.snapshot.file.copy |
Contains two-phases copy strategy implementation.
|
| org.gridgain.grid.persistentstore.snapshot.file.remote |
Contains remote GridGain database snapshot SPI file implementation.
|
| org.gridgain.grid.persistentstore.snapshot.file.remote.wal |
Contains GridGain database snapshot SPI file implementation for remote WAL.
|
| Package | Description |
|---|---|
| org.gridgain.grid.ru |
This package contains classes related to Rolling Upgrade process.
|
| Package | Description |
|---|---|
| org.apache.ignite.maintenance |
Package contains public interfaces for maintenance mechanism.
|
| Package | Description |
|---|---|
| org.apache.ignite.kubernetes.configuration |
Contains Kubernetes configuration classes.
|
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024