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Repository: huawei-noah/streamDM
Branch: master
Commit: 22637b67b39f
Files: 311
Total size: 3.8 MB
Directory structure:
gitextract_04k4nztj/
├── .gitignore
├── CONTRIBUTING.md
├── ISSUE_TEMPLATE.md
├── LICENSE
├── PULL_REQUEST_TEMPLATE.md
├── README.md
├── data/
│ ├── electNormNew.arff
│ ├── hyperplanesampledata
│ ├── hyperplanesampledata.arff.head
│ ├── iris.arff
│ ├── randomtreesampledata
│ ├── randomtreesampledata.arff.head
│ ├── stream2000_7anom.arff
│ └── stream2500_51anom.arff
├── learn.sbt
├── project/
│ └── plugins.sbt
├── scripts/
│ ├── generateData.sh
│ ├── instance_server/
│ │ ├── generate_dataset.py
│ │ └── server.py
│ └── spark.sh
├── src/
│ ├── main/
│ │ ├── java/
│ │ │ └── com/
│ │ │ └── github/
│ │ │ └── javacliparser/
│ │ │ ├── AbstractClassOption.java
│ │ │ ├── AbstractOption.java
│ │ │ ├── ClassOption.java
│ │ │ ├── Configurable.java
│ │ │ ├── FileOption.java
│ │ │ ├── FlagOption.java
│ │ │ ├── FloatOption.java
│ │ │ ├── IntOption.java
│ │ │ ├── JavaCLIParser.java
│ │ │ ├── ListOption.java
│ │ │ ├── MultiChoiceOption.java
│ │ │ ├── Option.java
│ │ │ ├── Options.java
│ │ │ ├── SerializeUtils.java
│ │ │ ├── StringOption.java
│ │ │ ├── StringUtils.java
│ │ │ └── examples/
│ │ │ ├── DoTask.java
│ │ │ ├── Task1.java
│ │ │ └── Task2.java
│ │ └── scala/
│ │ └── org/
│ │ └── apache/
│ │ └── spark/
│ │ └── streamdm/
│ │ ├── classifiers/
│ │ │ ├── Classifier.scala
│ │ │ ├── MultiClassLearner.scala
│ │ │ ├── PerceptronLearner.scala
│ │ │ ├── SGDLearner.scala
│ │ │ ├── bayes/
│ │ │ │ └── MultinomialNaiveBayes.scala
│ │ │ ├── meta/
│ │ │ │ ├── Bagging.scala
│ │ │ │ └── RandomForest.scala
│ │ │ ├── model/
│ │ │ │ ├── HingeLoss.scala
│ │ │ │ ├── L1Regularizer.scala
│ │ │ │ ├── L2Regularizer.scala
│ │ │ │ ├── LinearModel.scala
│ │ │ │ ├── LogisticLoss.scala
│ │ │ │ ├── Loss.scala
│ │ │ │ ├── PerceptronLoss.scala
│ │ │ │ ├── Regularizer.scala
│ │ │ │ ├── SquaredLoss.scala
│ │ │ │ └── ZeroRegularizer.scala
│ │ │ └── trees/
│ │ │ ├── ConditionalTest.scala
│ │ │ ├── FeatureClassObserver.scala
│ │ │ ├── FeatureSplit.scala
│ │ │ ├── GaussianEstimator.scala
│ │ │ ├── HoeffdingTree.scala
│ │ │ ├── SplitCriterion.scala
│ │ │ ├── Utils.scala
│ │ │ └── nodes/
│ │ │ ├── ActiveLearningNode.scala
│ │ │ ├── FoundNode.scala
│ │ │ ├── InactiveLearningNode.scala
│ │ │ ├── LearningNode.scala
│ │ │ ├── LearningNodeNB.scala
│ │ │ ├── LearningNodeNBAdaptive.scala
│ │ │ ├── Node.scala
│ │ │ └── SplitNode.scala
│ │ ├── clusterers/
│ │ │ ├── Clusterer.scala
│ │ │ ├── Clustream.scala
│ │ │ ├── StreamKM.scala
│ │ │ ├── clusters/
│ │ │ │ ├── BucketManager.scala
│ │ │ │ ├── Clusters.scala
│ │ │ │ ├── MicroCluster.scala
│ │ │ │ ├── MicroClusters.scala
│ │ │ │ └── TreeCoreset.scala
│ │ │ └── utils/
│ │ │ └── KMeans.scala
│ │ ├── core/
│ │ │ ├── ClassificationModel.scala
│ │ │ ├── DenseInstance.scala
│ │ │ ├── Example.scala
│ │ │ ├── ExampleParser.scala
│ │ │ ├── Instance.scala
│ │ │ ├── Learner.scala
│ │ │ ├── Model.scala
│ │ │ ├── NullInstance.scala
│ │ │ ├── SparseInstance.scala
│ │ │ ├── TextInstance.scala
│ │ │ └── specification/
│ │ │ ├── ExampleSpecification.scala
│ │ │ ├── FeatureSpecification.scala
│ │ │ ├── InstanceSpecification.scala
│ │ │ └── SpecificationParser.scala
│ │ ├── evaluation/
│ │ │ ├── BasicClassificationEvaluator.scala
│ │ │ ├── ClusteringEvaluator.scala
│ │ │ └── Evaluator.scala
│ │ ├── outlier/
│ │ │ ├── Outlier.scala
│ │ │ ├── OutlierModel.scala
│ │ │ └── SWNearestNeighbors.scala
│ │ ├── streamDMJob.scala
│ │ ├── streams/
│ │ │ ├── FileReader.scala
│ │ │ ├── KafkaReader.scala
│ │ │ ├── PrintStreamWriter.scala
│ │ │ ├── SampleDataWriter.scala
│ │ │ ├── SocketTextStreamReader.scala
│ │ │ ├── StreamReader.scala
│ │ │ ├── StreamWriter.scala
│ │ │ ├── TextStreamReader.scala
│ │ │ └── generators/
│ │ │ ├── Cluster.scala
│ │ │ ├── Generator.scala
│ │ │ ├── HyperplaneGenerator.scala
│ │ │ ├── RandomRBFEventsGenerator.scala
│ │ │ ├── RandomRBFGenerator.scala
│ │ │ ├── RandomTreeGenerator.scala
│ │ │ └── SphereCluster.scala
│ │ ├── tasks/
│ │ │ ├── ClusteringTrainEvaluate.scala
│ │ │ ├── EvaluateOutlierDetection.scala
│ │ │ ├── EvaluatePrequential.scala
│ │ │ └── Task.scala
│ │ └── utils/
│ │ ├── Statistics.scala
│ │ └── Utils.scala
│ └── test/
│ └── scala/
│ └── org/
│ └── apache/
│ └── spark/
│ └── streamdm/
│ ├── classifiers/
│ │ ├── bayes/
│ │ │ └── MultinomialNaiveBayesSuite.scala
│ │ ├── model/
│ │ │ ├── HingeLossSuite.scala
│ │ │ ├── L1RegularizerSuite.scala
│ │ │ ├── L2RegularizerSuite.scala
│ │ │ ├── LogisticLossSuite.scala
│ │ │ ├── PerceptronLossSuite.scala
│ │ │ ├── SquaredLossSuite.scala
│ │ │ └── ZeroRegularizerSuite.scala
│ │ └── trees/
│ │ ├── ConditionalTestSuite.scala
│ │ ├── FeatureClassObserverSuite.scala
│ │ ├── FeatureSplitSuite.scala
│ │ ├── GaussianEstimatorSuite.scala
│ │ └── SplitCriterionSuite.scala
│ ├── core/
│ │ ├── DenseInstanceSuite.scala
│ │ ├── ExampleSuite.scala
│ │ └── SparseInstanceSuite.scala
│ └── utils/
│ └── UtilsSuite.scala
└── website/
├── .editorconfig
├── .gitignore
├── .jshintrc
├── .travis.yml
├── 404.md
├── Gemfile
├── Gruntfile.js
├── LICENSE
├── README.md
├── _config.yml
├── _data/
│ └── navigation.yml
├── _includes/
│ ├── ad-footer.html
│ ├── ad-sidebar.html
│ ├── browser-upgrade.html
│ ├── disqus-comments.html
│ ├── feed-footer.html
│ ├── footer.html
│ ├── footer.html~
│ ├── head.html
│ ├── navigation.html
│ ├── open-graph.html
│ ├── scripts.html
│ └── social-share.html
├── _layouts/
│ ├── page.html
│ └── post.html
├── _octopress.yml
├── _sass/
│ ├── _animations.scss
│ ├── _archives.scss
│ ├── _base.scss
│ ├── _buttons.scss
│ ├── _footer.scss
│ ├── _footnotes.scss
│ ├── _forms.scss
│ ├── _grid-settings.scss
│ ├── _helpers.scss
│ ├── _masthead.scss
│ ├── _mixins.scss
│ ├── _navigation.scss
│ ├── _notices.scss
│ ├── _page.scss
│ ├── _reset.scss
│ ├── _search.scss
│ ├── _syntax.scss
│ ├── _variables.scss
│ ├── _wells.scss
│ └── vendor/
│ ├── bourbon/
│ │ ├── _bourbon-deprecated-upcoming.scss
│ │ ├── _bourbon.scss
│ │ ├── addons/
│ │ │ ├── _button.scss
│ │ │ ├── _clearfix.scss
│ │ │ ├── _directional-values.scss
│ │ │ ├── _ellipsis.scss
│ │ │ ├── _font-family.scss
│ │ │ ├── _hide-text.scss
│ │ │ ├── _html5-input-types.scss
│ │ │ ├── _position.scss
│ │ │ ├── _prefixer.scss
│ │ │ ├── _retina-image.scss
│ │ │ ├── _size.scss
│ │ │ ├── _timing-functions.scss
│ │ │ ├── _triangle.scss
│ │ │ └── _word-wrap.scss
│ │ ├── css3/
│ │ │ ├── _animation.scss
│ │ │ ├── _appearance.scss
│ │ │ ├── _backface-visibility.scss
│ │ │ ├── _background-image.scss
│ │ │ ├── _background.scss
│ │ │ ├── _border-image.scss
│ │ │ ├── _border-radius.scss
│ │ │ ├── _box-sizing.scss
│ │ │ ├── _calc.scss
│ │ │ ├── _columns.scss
│ │ │ ├── _filter.scss
│ │ │ ├── _flex-box.scss
│ │ │ ├── _font-face.scss
│ │ │ ├── _font-feature-settings.scss
│ │ │ ├── _hidpi-media-query.scss
│ │ │ ├── _hyphens.scss
│ │ │ ├── _image-rendering.scss
│ │ │ ├── _keyframes.scss
│ │ │ ├── _linear-gradient.scss
│ │ │ ├── _perspective.scss
│ │ │ ├── _placeholder.scss
│ │ │ ├── _radial-gradient.scss
│ │ │ ├── _transform.scss
│ │ │ ├── _transition.scss
│ │ │ └── _user-select.scss
│ │ ├── functions/
│ │ │ ├── _assign.scss
│ │ │ ├── _color-lightness.scss
│ │ │ ├── _flex-grid.scss
│ │ │ ├── _golden-ratio.scss
│ │ │ ├── _grid-width.scss
│ │ │ ├── _modular-scale.scss
│ │ │ ├── _px-to-em.scss
│ │ │ ├── _px-to-rem.scss
│ │ │ ├── _strip-units.scss
│ │ │ ├── _tint-shade.scss
│ │ │ ├── _transition-property-name.scss
│ │ │ └── _unpack.scss
│ │ ├── helpers/
│ │ │ ├── _convert-units.scss
│ │ │ ├── _gradient-positions-parser.scss
│ │ │ ├── _is-num.scss
│ │ │ ├── _linear-angle-parser.scss
│ │ │ ├── _linear-gradient-parser.scss
│ │ │ ├── _linear-positions-parser.scss
│ │ │ ├── _linear-side-corner-parser.scss
│ │ │ ├── _radial-arg-parser.scss
│ │ │ ├── _radial-gradient-parser.scss
│ │ │ ├── _radial-positions-parser.scss
│ │ │ ├── _render-gradients.scss
│ │ │ ├── _shape-size-stripper.scss
│ │ │ └── _str-to-num.scss
│ │ └── settings/
│ │ ├── _prefixer.scss
│ │ └── _px-to-em.scss
│ ├── font-awesome/
│ │ ├── _bordered-pulled.scss
│ │ ├── _core.scss
│ │ ├── _fixed-width.scss
│ │ ├── _icons.scss
│ │ ├── _larger.scss
│ │ ├── _list.scss
│ │ ├── _mixins.scss
│ │ ├── _path.scss
│ │ ├── _rotated-flipped.scss
│ │ ├── _spinning.scss
│ │ ├── _stacked.scss
│ │ ├── _variables.scss
│ │ └── font-awesome.scss
│ ├── magnific-popup/
│ │ ├── _settings.scss
│ │ └── magnific-popup.scss
│ └── neat/
│ ├── _neat-helpers.scss
│ ├── _neat.scss
│ ├── functions/
│ │ ├── _new-breakpoint.scss
│ │ └── _private.scss
│ ├── grid/
│ │ ├── _fill-parent.scss
│ │ ├── _grid.scss
│ │ ├── _media.scss
│ │ ├── _omega.scss
│ │ ├── _outer-container.scss
│ │ ├── _pad.scss
│ │ ├── _private.scss
│ │ ├── _reset.scss
│ │ ├── _row.scss
│ │ ├── _shift.scss
│ │ ├── _span-columns.scss
│ │ ├── _to-deprecate.scss
│ │ └── _visual-grid.scss
│ └── settings/
│ ├── _grid.scss
│ └── _visual-grid.scss
├── _templates/
│ ├── archive
│ ├── page
│ └── post
├── assets/
│ ├── css/
│ │ └── main.scss
│ ├── fonts/
│ │ └── FontAwesome.otf
│ └── js/
│ ├── _main.js
│ └── plugins/
│ ├── jquery.fitvids.js
│ ├── jquery.magnific-popup.js
│ ├── respond.js
│ ├── responsive-nav.js
│ └── search.js
├── docs/
│ ├── Bagging.md
│ ├── CluStream.md
│ ├── Contributors.md
│ ├── GettingStarted.md
│ ├── HDT.md
│ ├── NB.md
│ ├── Programming.md
│ ├── SGD.md
│ ├── SampleDataWriter.md
│ ├── StreamKM.md
│ └── generators.md
├── feed.xml
├── index.md
└── package.json
================================================
FILE CONTENTS
================================================
================================================
FILE: .gitignore
================================================
# sbt specific
target/
project/project/
================================================
FILE: CONTRIBUTING.md
================================================
## How do I submit a contribution?
1. Create a GitHub issue describing the bug or enhancement at https://github.com/huawei-noah/streamDM/issues, please use the appropriate template.
2. Once you have your contribution ready, that means that follows the coding convention, with sufficient tests, and is organized into logical commits, you may submit a pull request (PR). Prepend the GitHub issue ID to the title of the pull request (e.g, StreamDM-XX: Fancy new feature).
3. **Make sure not to include any merge commits in your PR and always rebase on the current master to make it easier for project committers to apply your changes**
4. Prepend each commit log in a branch with the issue ID. Assuming that you are developing your feature on a branch named after the issue ID (StreamDM-XX):
`git filter-branch -f --msg-filter 'printf "StreamDM-XX: " && cat' StreamDM-XX master..HEAD`
5. The PR will be reviewed and voted upon.
## General guidelines for contributions
1. Contributions should be self-contained, do not create a general issue and append several changes to it that are unrelated. For example, an issue like "update streamDM" that requires changes to the whole framework accompanied by a PR with commits that affect how data sources are used, the instances' representation, add new synthetic data generators, etc, is quite difficult to test as it simply touches every part of the framework. If you want to contribute several changes, create separate issues and separate pull requests.
2. Follow the best practices for Scala programming.
3. Follow the framework coding style. For example, learners are parametrized using Option classes, if you try to submit a new learner that receives its configuration through a configuration file, it will require changes to make it similar to how other learners are used.
## Issues
Issues can be created to describe enhancements or bug reports. Two templates will be available whenever you attempt to create a new Issue.
1. Before creating an issue make sure to search for it in the [closed issues](https://github.com/huawei-noah/streamDM/issues?utf8=✓&q=is%3Aissue%20is%3Aclosed). If a similar one already exists, but the answer does not address your bug/enhancement, then you shall still create yours, but please refer to the previous issue in it.
2. Is this a functionality request? E.g. please add support to ...? If so, then use the *Enhancement* template, otherwise use the *Bug report* template.
3. Fillout the appropriate template below depending on whether you are proposing an *enhancement* (e.g., please add support to ...) or you are creating a *bug report* (e.g., cannot execute learner...). Delete the template that was not used.
4. Add a descriptive title for the issue.
================================================
FILE: ISSUE_TEMPLATE.md
================================================
# Warning
1. Before submitting the issue, read the [CONTRIBUTING guidelines](https://github.com/huawei-noah/streamDM/blob/master/CONTRIBUTING.md).
2. Use only one of the templates below to create either an Enhancement or Bug Report issue.
-----------------------------------------------
# Enhancement template
## Description
_<< What is the purpose of this enhancement >>_
## Resources
_<< Is it implemented in another machine learning library? Are there academic papers describing the method? >>_
-----------------------------------------------
# Bug Report template
## Expected behavior
_<< What were you trying to do? In other words, what did you expected to achieve? Describe it in here. >>_
## Observed behavior
_<< What results have you obtained? Is there an error message? If so, please paste it in here (not all issues produce error messages) >>_
## Steps to reproduce the issue
**Command line**
_<< What is the command line to reproduce the behavior? >>_
**Data source**
_<< What data was used? Did you use Kafka? >>_
_<< Does the problem applies to one specific data source only? If so, Include more information about it, such as the features' domain and dimensionality, the data format, and a sample of data. >>_
**Infrastructure details**
* **Java Version:**
* **Scala Version:**
* **Spark version:**
* **OS version:**
* **Cluster mode or local mode?**
================================================
FILE: LICENSE
================================================
Apache License
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http://www.apache.org/licenses/
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================================================
FILE: PULL_REQUEST_TEMPLATE.md
================================================
## Warning
**Make sure you have read the [CONTRIBUTION guidelines](https://github.com/huawei-noah/streamDM/blob/master/CONTRIBUTING.md) and to have an open issue already created before submitting a Pull Request**
## Summary of the changes
_<< Explain the overall functionality addition or corrections. >>_
_<< Optionally, list all the classes affected by the changes and explain the changes >>_
## Tests
_<< Any dependency for the tests should be listed in here, such as specific datasets to be used that are not part of the `\data` directory. >>_
1. _<< Description of test1 >>_
_<< steps to execute test1 >>_
_<< expected output for test1 >>_
2. _<< Description of test2 >>_
_<< steps to execute test2 >>_
_<< expected output for test2 >>_
_<< Include as many tests as necessary >>_
================================================
FILE: README.md
================================================
# streamDM for Spark Streaming
streamDM is a new open source software for mining big data streams using [Spark Streaming](https://spark.apache.org/streaming/), started at [Huawei Noah's Ark
Lab](http://www.noahlab.com.hk/). streamDM is licensed under Apache Software License v2.0.
## Big Data Stream Learning
Big Data stream learning is more challenging than batch or offline learning,
since the data may not keep the same distribution over the lifetime of the
stream. Moreover, each example coming in a stream can only be processed once, or
they need to be summarized with a small memory footprint, and the learning
algorithms must be very efficient.
### Spark Streaming
[Spark Streaming](https://spark.apache.org/streaming/) is an extension of the
core [Spark](https://spark.apache.org) API that enables stream processing from
a variety of sources. Spark is a extensible and programmable framework for
massive distributed processing of datasets, called Resilient Distributed
Datasets (RDD). Spark Streaming receives input data streams and divides the data
into batches, which are then processed by the Spark engine to generate the
results.
Spark Streaming data is organized into a sequence of DStreams, represented
internally as a sequence of RDDs.
### <a name="methods"></a>Included Methods
In this current release of StreamDM v0.2, we have implemented:
* [SGD Learner](http://huawei-noah.github.io/streamDM/docs/SGD.html) and [Perceptron](http://huawei-noah.github.io/streamDM/docs/SGD.html#perceptron)
* [Naive Bayes](http://huawei-noah.github.io/streamDM/docs/NB.html)
* [CluStream](http://huawei-noah.github.io/streamDM/docs/CluStream.html)
* [Hoeffding Decision Trees](http://huawei-noah.github.io/streamDM/docs/HDT.html)
* [Bagging](http://huawei-noah.github.io/streamDM/docs/Bagging.html)
* [Stream KM++](http://huawei-noah.github.io/streamDM/docs/StreamKM.html)
we also implemented following [data generators](http://huawei-noah.github.io/streamDM/docs/generators.html):
* HyperplaneGenerator
* RandomTreeGenerator
* RandomRBFGenerator
* RandomRBFEventsGenerator
We have also implemented [SampleDataWriter](http://huawei-noah.github.io/streamDM/docs/SampleDataWriter.html), which can call data generators
to create sample data for simulation or test.
In the next release of streamDM, we are going to add:
* Classification: Random Forests
* Multi-label: Hoeffding Tree ML, Random Forests ML
* Frequent Itemset Miner: IncMine
For future works, we are considering:
* Regression: Hoeffding Regression Tree, Bagging, Random Forests
* Clustering: Clustree, DenStream
* Frequent Itemset Miner: IncSecMine
## Going Further
For a quick introduction to running StreamDM, refer to the [Getting
Started](http://huawei-noah.github.io/streamDM/docs/GettingStarted.html) document. The StreamDM [Programming
Guide](http://huawei-noah.github.io/streamDM/docs/Programming.html) presents a detailed view of StreamDM. The full API
documentation can be consulted [here](http://huawei-noah.github.io/streamDM/api/index.html).
## Environment
* Spark 2.3.2
* Scala 2.11
* SBT 0.13
* Java 8+
## Mailing lists
### User support and questions mailing list:
<a href="mailto:streamdm-user@googlegroups.com">streamdm-user@googlegroups.com</a>
### Development related discussions:
<a href="mailto:streamdm-dev@googlegroups.com">streamdm-dev@googlegroups.com</a>
================================================
FILE: data/electNormNew.arff
================================================
@attribute date numeric
@attribute day {1,2,3,4,5,6,7}
@attribute period numeric
@attribute nswprice numeric
@attribute nswdemand numeric
@attribute vicprice numeric
@attribute vicdemand numeric
@attribute transfer numeric
@attribute class {1,0}
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gitextract_04k4nztj/
├── .gitignore
├── CONTRIBUTING.md
├── ISSUE_TEMPLATE.md
├── LICENSE
├── PULL_REQUEST_TEMPLATE.md
├── README.md
├── data/
│ ├── electNormNew.arff
│ ├── hyperplanesampledata
│ ├── hyperplanesampledata.arff.head
│ ├── iris.arff
│ ├── randomtreesampledata
│ ├── randomtreesampledata.arff.head
│ ├── stream2000_7anom.arff
│ └── stream2500_51anom.arff
├── learn.sbt
├── project/
│ └── plugins.sbt
├── scripts/
│ ├── generateData.sh
│ ├── instance_server/
│ │ ├── generate_dataset.py
│ │ └── server.py
│ └── spark.sh
├── src/
│ ├── main/
│ │ ├── java/
│ │ │ └── com/
│ │ │ └── github/
│ │ │ └── javacliparser/
│ │ │ ├── AbstractClassOption.java
│ │ │ ├── AbstractOption.java
│ │ │ ├── ClassOption.java
│ │ │ ├── Configurable.java
│ │ │ ├── FileOption.java
│ │ │ ├── FlagOption.java
│ │ │ ├── FloatOption.java
│ │ │ ├── IntOption.java
│ │ │ ├── JavaCLIParser.java
│ │ │ ├── ListOption.java
│ │ │ ├── MultiChoiceOption.java
│ │ │ ├── Option.java
│ │ │ ├── Options.java
│ │ │ ├── SerializeUtils.java
│ │ │ ├── StringOption.java
│ │ │ ├── StringUtils.java
│ │ │ └── examples/
│ │ │ ├── DoTask.java
│ │ │ ├── Task1.java
│ │ │ └── Task2.java
│ │ └── scala/
│ │ └── org/
│ │ └── apache/
│ │ └── spark/
│ │ └── streamdm/
│ │ ├── classifiers/
│ │ │ ├── Classifier.scala
│ │ │ ├── MultiClassLearner.scala
│ │ │ ├── PerceptronLearner.scala
│ │ │ ├── SGDLearner.scala
│ │ │ ├── bayes/
│ │ │ │ └── MultinomialNaiveBayes.scala
│ │ │ ├── meta/
│ │ │ │ ├── Bagging.scala
│ │ │ │ └── RandomForest.scala
│ │ │ ├── model/
│ │ │ │ ├── HingeLoss.scala
│ │ │ │ ├── L1Regularizer.scala
│ │ │ │ ├── L2Regularizer.scala
│ │ │ │ ├── LinearModel.scala
│ │ │ │ ├── LogisticLoss.scala
│ │ │ │ ├── Loss.scala
│ │ │ │ ├── PerceptronLoss.scala
│ │ │ │ ├── Regularizer.scala
│ │ │ │ ├── SquaredLoss.scala
│ │ │ │ └── ZeroRegularizer.scala
│ │ │ └── trees/
│ │ │ ├── ConditionalTest.scala
│ │ │ ├── FeatureClassObserver.scala
│ │ │ ├── FeatureSplit.scala
│ │ │ ├── GaussianEstimator.scala
│ │ │ ├── HoeffdingTree.scala
│ │ │ ├── SplitCriterion.scala
│ │ │ ├── Utils.scala
│ │ │ └── nodes/
│ │ │ ├── ActiveLearningNode.scala
│ │ │ ├── FoundNode.scala
│ │ │ ├── InactiveLearningNode.scala
│ │ │ ├── LearningNode.scala
│ │ │ ├── LearningNodeNB.scala
│ │ │ ├── LearningNodeNBAdaptive.scala
│ │ │ ├── Node.scala
│ │ │ └── SplitNode.scala
│ │ ├── clusterers/
│ │ │ ├── Clusterer.scala
│ │ │ ├── Clustream.scala
│ │ │ ├── StreamKM.scala
│ │ │ ├── clusters/
│ │ │ │ ├── BucketManager.scala
│ │ │ │ ├── Clusters.scala
│ │ │ │ ├── MicroCluster.scala
│ │ │ │ ├── MicroClusters.scala
│ │ │ │ └── TreeCoreset.scala
│ │ │ └── utils/
│ │ │ └── KMeans.scala
│ │ ├── core/
│ │ │ ├── ClassificationModel.scala
│ │ │ ├── DenseInstance.scala
│ │ │ ├── Example.scala
│ │ │ ├── ExampleParser.scala
│ │ │ ├── Instance.scala
│ │ │ ├── Learner.scala
│ │ │ ├── Model.scala
│ │ │ ├── NullInstance.scala
│ │ │ ├── SparseInstance.scala
│ │ │ ├── TextInstance.scala
│ │ │ └── specification/
│ │ │ ├── ExampleSpecification.scala
│ │ │ ├── FeatureSpecification.scala
│ │ │ ├── InstanceSpecification.scala
│ │ │ └── SpecificationParser.scala
│ │ ├── evaluation/
│ │ │ ├── BasicClassificationEvaluator.scala
│ │ │ ├── ClusteringEvaluator.scala
│ │ │ └── Evaluator.scala
│ │ ├── outlier/
│ │ │ ├── Outlier.scala
│ │ │ ├── OutlierModel.scala
│ │ │ └── SWNearestNeighbors.scala
│ │ ├── streamDMJob.scala
│ │ ├── streams/
│ │ │ ├── FileReader.scala
│ │ │ ├── KafkaReader.scala
│ │ │ ├── PrintStreamWriter.scala
│ │ │ ├── SampleDataWriter.scala
│ │ │ ├── SocketTextStreamReader.scala
│ │ │ ├── StreamReader.scala
│ │ │ ├── StreamWriter.scala
│ │ │ ├── TextStreamReader.scala
│ │ │ └── generators/
│ │ │ ├── Cluster.scala
│ │ │ ├── Generator.scala
│ │ │ ├── HyperplaneGenerator.scala
│ │ │ ├── RandomRBFEventsGenerator.scala
│ │ │ ├── RandomRBFGenerator.scala
│ │ │ ├── RandomTreeGenerator.scala
│ │ │ └── SphereCluster.scala
│ │ ├── tasks/
│ │ │ ├── ClusteringTrainEvaluate.scala
│ │ │ ├── EvaluateOutlierDetection.scala
│ │ │ ├── EvaluatePrequential.scala
│ │ │ └── Task.scala
│ │ └── utils/
│ │ ├── Statistics.scala
│ │ └── Utils.scala
│ └── test/
│ └── scala/
│ └── org/
│ └── apache/
│ └── spark/
│ └── streamdm/
│ ├── classifiers/
│ │ ├── bayes/
│ │ │ └── MultinomialNaiveBayesSuite.scala
│ │ ├── model/
│ │ │ ├── HingeLossSuite.scala
│ │ │ ├── L1RegularizerSuite.scala
│ │ │ ├── L2RegularizerSuite.scala
│ │ │ ├── LogisticLossSuite.scala
│ │ │ ├── PerceptronLossSuite.scala
│ │ │ ├── SquaredLossSuite.scala
│ │ │ └── ZeroRegularizerSuite.scala
│ │ └── trees/
│ │ ├── ConditionalTestSuite.scala
│ │ ├── FeatureClassObserverSuite.scala
│ │ ├── FeatureSplitSuite.scala
│ │ ├── GaussianEstimatorSuite.scala
│ │ └── SplitCriterionSuite.scala
│ ├── core/
│ │ ├── DenseInstanceSuite.scala
│ │ ├── ExampleSuite.scala
│ │ └── SparseInstanceSuite.scala
│ └── utils/
│ └── UtilsSuite.scala
└── website/
├── .editorconfig
├── .gitignore
├── .jshintrc
├── .travis.yml
├── 404.md
├── Gemfile
├── Gruntfile.js
├── LICENSE
├── README.md
├── _config.yml
├── _data/
│ └── navigation.yml
├── _includes/
│ ├── ad-footer.html
│ ├── ad-sidebar.html
│ ├── browser-upgrade.html
│ ├── disqus-comments.html
│ ├── feed-footer.html
│ ├── footer.html
│ ├── footer.html~
│ ├── head.html
│ ├── navigation.html
│ ├── open-graph.html
│ ├── scripts.html
│ └── social-share.html
├── _layouts/
│ ├── page.html
│ └── post.html
├── _octopress.yml
├── _sass/
│ ├── _animations.scss
│ ├── _archives.scss
│ ├── _base.scss
│ ├── _buttons.scss
│ ├── _footer.scss
│ ├── _footnotes.scss
│ ├── _forms.scss
│ ├── _grid-settings.scss
│ ├── _helpers.scss
│ ├── _masthead.scss
│ ├── _mixins.scss
│ ├── _navigation.scss
│ ├── _notices.scss
│ ├── _page.scss
│ ├── _reset.scss
│ ├── _search.scss
│ ├── _syntax.scss
│ ├── _variables.scss
│ ├── _wells.scss
│ └── vendor/
│ ├── bourbon/
│ │ ├── _bourbon-deprecated-upcoming.scss
│ │ ├── _bourbon.scss
│ │ ├── addons/
│ │ │ ├── _button.scss
│ │ │ ├── _clearfix.scss
│ │ │ ├── _directional-values.scss
│ │ │ ├── _ellipsis.scss
│ │ │ ├── _font-family.scss
│ │ │ ├── _hide-text.scss
│ │ │ ├── _html5-input-types.scss
│ │ │ ├── _position.scss
│ │ │ ├── _prefixer.scss
│ │ │ ├── _retina-image.scss
│ │ │ ├── _size.scss
│ │ │ ├── _timing-functions.scss
│ │ │ ├── _triangle.scss
│ │ │ └── _word-wrap.scss
│ │ ├── css3/
│ │ │ ├── _animation.scss
│ │ │ ├── _appearance.scss
│ │ │ ├── _backface-visibility.scss
│ │ │ ├── _background-image.scss
│ │ │ ├── _background.scss
│ │ │ ├── _border-image.scss
│ │ │ ├── _border-radius.scss
│ │ │ ├── _box-sizing.scss
│ │ │ ├── _calc.scss
│ │ │ ├── _columns.scss
│ │ │ ├── _filter.scss
│ │ │ ├── _flex-box.scss
│ │ │ ├── _font-face.scss
│ │ │ ├── _font-feature-settings.scss
│ │ │ ├── _hidpi-media-query.scss
│ │ │ ├── _hyphens.scss
│ │ │ ├── _image-rendering.scss
│ │ │ ├── _keyframes.scss
│ │ │ ├── _linear-gradient.scss
│ │ │ ├── _perspective.scss
│ │ │ ├── _placeholder.scss
│ │ │ ├── _radial-gradient.scss
│ │ │ ├── _transform.scss
│ │ │ ├── _transition.scss
│ │ │ └── _user-select.scss
│ │ ├── functions/
│ │ │ ├── _assign.scss
│ │ │ ├── _color-lightness.scss
│ │ │ ├── _flex-grid.scss
│ │ │ ├── _golden-ratio.scss
│ │ │ ├── _grid-width.scss
│ │ │ ├── _modular-scale.scss
│ │ │ ├── _px-to-em.scss
│ │ │ ├── _px-to-rem.scss
│ │ │ ├── _strip-units.scss
│ │ │ ├── _tint-shade.scss
│ │ │ ├── _transition-property-name.scss
│ │ │ └── _unpack.scss
│ │ ├── helpers/
│ │ │ ├── _convert-units.scss
│ │ │ ├── _gradient-positions-parser.scss
│ │ │ ├── _is-num.scss
│ │ │ ├── _linear-angle-parser.scss
│ │ │ ├── _linear-gradient-parser.scss
│ │ │ ├── _linear-positions-parser.scss
│ │ │ ├── _linear-side-corner-parser.scss
│ │ │ ├── _radial-arg-parser.scss
│ │ │ ├── _radial-gradient-parser.scss
│ │ │ ├── _radial-positions-parser.scss
│ │ │ ├── _render-gradients.scss
│ │ │ ├── _shape-size-stripper.scss
│ │ │ └── _str-to-num.scss
│ │ └── settings/
│ │ ├── _prefixer.scss
│ │ └── _px-to-em.scss
│ ├── font-awesome/
│ │ ├── _bordered-pulled.scss
│ │ ├── _core.scss
│ │ ├── _fixed-width.scss
│ │ ├── _icons.scss
│ │ ├── _larger.scss
│ │ ├── _list.scss
│ │ ├── _mixins.scss
│ │ ├── _path.scss
│ │ ├── _rotated-flipped.scss
│ │ ├── _spinning.scss
│ │ ├── _stacked.scss
│ │ ├── _variables.scss
│ │ └── font-awesome.scss
│ ├── magnific-popup/
│ │ ├── _settings.scss
│ │ └── magnific-popup.scss
│ └── neat/
│ ├── _neat-helpers.scss
│ ├── _neat.scss
│ ├── functions/
│ │ ├── _new-breakpoint.scss
│ │ └── _private.scss
│ ├── grid/
│ │ ├── _fill-parent.scss
│ │ ├── _grid.scss
│ │ ├── _media.scss
│ │ ├── _omega.scss
│ │ ├── _outer-container.scss
│ │ ├── _pad.scss
│ │ ├── _private.scss
│ │ ├── _reset.scss
│ │ ├── _row.scss
│ │ ├── _shift.scss
│ │ ├── _span-columns.scss
│ │ ├── _to-deprecate.scss
│ │ └── _visual-grid.scss
│ └── settings/
│ ├── _grid.scss
│ └── _visual-grid.scss
├── _templates/
│ ├── archive
│ ├── page
│ └── post
├── assets/
│ ├── css/
│ │ └── main.scss
│ ├── fonts/
│ │ └── FontAwesome.otf
│ └── js/
│ ├── _main.js
│ └── plugins/
│ ├── jquery.fitvids.js
│ ├── jquery.magnific-popup.js
│ ├── respond.js
│ ├── responsive-nav.js
│ └── search.js
├── docs/
│ ├── Bagging.md
│ ├── CluStream.md
│ ├── Contributors.md
│ ├── GettingStarted.md
│ ├── HDT.md
│ ├── NB.md
│ ├── Programming.md
│ ├── SGD.md
│ ├── SampleDataWriter.md
│ ├── StreamKM.md
│ └── generators.md
├── feed.xml
├── index.md
└── package.json
SYMBOL INDEX (171 symbols across 24 files)
FILE: scripts/instance_server/generate_dataset.py
function label (line 18) | def label(feat, func):
function generate (line 23) | def generate():
FILE: scripts/instance_server/server.py
function label (line 23) | def label(feat, func):
function clientthread_file (line 28) | def clientthread_file(conn):
function clientthread (line 50) | def clientthread(conn):
FILE: src/main/java/com/github/javacliparser/AbstractClassOption.java
class AbstractClassOption (line 28) | public abstract class AbstractClassOption extends AbstractOption {
method AbstractClassOption (line 61) | public AbstractClassOption(String name, char cliChar, String purpose,
method AbstractClassOption (line 78) | public AbstractClassOption(String name, char cliChar, String purpose,
method setCurrentObject (line 92) | public void setCurrentObject(Object obj) {
method getValue (line 110) | public <T> T getValue() {
method getRequiredType (line 119) | public Class<?> getRequiredType() {
method getNullString (line 128) | public String getNullString() {
method materializeObject (line 137) | public Object materializeObject() {
method getDefaultCLIString (line 161) | @Override
method classToCLIString (line 173) | public static String classToCLIString(Class<?> aClass, Class<?> requir...
method getValueAsCLIString (line 183) | @Override
method setValueViaCLIString (line 186) | @Override
method stripPackagePrefix (line 196) | public static String stripPackagePrefix(String className, Class<?> exp...
FILE: src/main/java/com/github/javacliparser/AbstractOption.java
class AbstractOption (line 26) | public abstract class AbstractOption implements Option {
method nameIsLegal (line 47) | public static boolean nameIsLegal(String optionName) {
method AbstractOption (line 64) | public AbstractOption(String name, char cliChar, String purpose) {
method getName (line 73) | @Override
method getCLIChar (line 78) | @Override
method getPurpose (line 83) | @Override
method resetToDefault (line 88) | @Override
method getStateString (line 93) | @Override
method copy (line 99) | @Override
FILE: src/main/java/com/github/javacliparser/ClassOption.java
class ClassOption (line 28) | public class ClassOption extends AbstractClassOption {
method ClassOption (line 32) | public ClassOption(String name, char cliChar, String purpose,
method ClassOption (line 37) | public ClassOption(String name, char cliChar, String purpose,
method getValueAsCLIString (line 42) | @Override
method setValueViaCLIString (line 50) | @Override
method objectToCLIString (line 65) | public static String objectToCLIString(Object obj, Class<?> requiredTy...
method createObject (line 88) | public static <T> T createObject(String cliString,
method createObject (line 93) | public static <T> T createObject(String[] args,
method cliStringToObject (line 103) | public static <T> T cliStringToObject(String cliString,
FILE: src/main/java/com/github/javacliparser/Configurable.java
type Configurable (line 28) | public interface Configurable extends Serializable {
FILE: src/main/java/com/github/javacliparser/FileOption.java
class FileOption (line 28) | public class FileOption extends StringOption {
method FileOption (line 36) | public FileOption(String name, char cliChar, String purpose,
method getDefaultFileExtension (line 43) | public String getDefaultFileExtension() {
method isOutputFile (line 47) | public boolean isOutputFile() {
method getFile (line 51) | public File getFile() {
FILE: src/main/java/com/github/javacliparser/FlagOption.java
class FlagOption (line 26) | public class FlagOption extends AbstractOption {
method FlagOption (line 32) | public FlagOption(String name, char cliChar, String purpose) {
method setValue (line 36) | public void setValue(boolean v) {
method set (line 40) | public void set() {
method unset (line 44) | public void unset() {
method isSet (line 48) | public boolean isSet() {
method getDefaultCLIString (line 52) | @Override
method getValueAsCLIString (line 57) | @Override
method setValueViaCLIString (line 62) | @Override
method getStateString (line 67) | @Override
FILE: src/main/java/com/github/javacliparser/FloatOption.java
class FloatOption (line 27) | public class FloatOption extends AbstractOption {
method FloatOption (line 39) | public FloatOption(String name, char cliChar, String purpose,
method FloatOption (line 45) | public FloatOption(String name, char cliChar, String purpose,
method setValue (line 54) | public void setValue(double v) {
method getValue (line 68) | public double getValue() {
method getMinValue (line 72) | public double getMinValue() {
method getMaxValue (line 76) | public double getMaxValue() {
method getDefaultCLIString (line 80) | @Override
method getValueAsCLIString (line 85) | @Override
method setValueViaCLIString (line 90) | @Override
method cliStringToDouble (line 95) | public static double cliStringToDouble(String s) {
method doubleToCLIString (line 99) | public static String doubleToCLIString(double d) {
FILE: src/main/java/com/github/javacliparser/IntOption.java
class IntOption (line 27) | public class IntOption extends AbstractOption {
method IntOption (line 39) | public IntOption(String name, char cliChar, String purpose, int defaul...
method IntOption (line 44) | public IntOption(String name, char cliChar, String purpose, int defaul...
method setValue (line 53) | public void setValue(int v) {
method getValue (line 67) | public int getValue() {
method getMinValue (line 71) | public int getMinValue() {
method getMaxValue (line 75) | public int getMaxValue() {
method getDefaultCLIString (line 79) | @Override
method getValueAsCLIString (line 84) | @Override
method setValueViaCLIString (line 89) | @Override
method cliStringToInt (line 94) | public static int cliStringToInt(String s) {
method intToCLIString (line 98) | public static String intToCLIString(int i) {
FILE: src/main/java/com/github/javacliparser/JavaCLIParser.java
class JavaCLIParser (line 33) | public class JavaCLIParser implements Serializable {
method JavaCLIParser (line 37) | public JavaCLIParser(Object c, String cliString) {
method getPurposeString (line 50) | public String getPurposeString() {
method getOptions (line 54) | public Options getOptions() {
method discoverOptionsViaReflection (line 70) | public Option[] discoverOptionsViaReflection() {
method prepareClassOptions (line 100) | public void prepareClassOptions() {
method getPreparedClassOption (line 125) | public Object getPreparedClassOption(ClassOption opt) {
FILE: src/main/java/com/github/javacliparser/ListOption.java
class ListOption (line 26) | public class ListOption extends AbstractOption {
method ListOption (line 38) | public ListOption(String name, char cliChar, String purpose,
method setList (line 47) | public void setList(Option[] optList) {
method getList (line 56) | public Option[] getList() {
method getDefaultCLIString (line 60) | @Override
method getValueAsCLIString (line 65) | @Override
method setValueViaCLIString (line 70) | @Override
method cliStringToOptionArray (line 76) | public static Option[] cliStringToOptionArray(String s, char separator,
method optionArrayToCLIString (line 90) | public static String optionArrayToCLIString(Option[] os, char separato...
FILE: src/main/java/com/github/javacliparser/MultiChoiceOption.java
class MultiChoiceOption (line 27) | public class MultiChoiceOption extends AbstractOption {
method MultiChoiceOption (line 39) | public MultiChoiceOption(String name, char cliChar, String purpose,
method getDefaultCLIString (line 52) | @Override
method getValueAsCLIString (line 57) | @Override
method setValueViaCLIString (line 62) | @Override
method setChosenLabel (line 71) | public void setChosenLabel(String label) {
method setChosenIndex (line 82) | public void setChosenIndex(int index) {
method getOptionLabels (line 89) | public String[] getOptionLabels() {
method getChosenLabel (line 93) | public String getChosenLabel() {
method getChosenIndex (line 97) | public int getChosenIndex() {
FILE: src/main/java/com/github/javacliparser/Option.java
type Option (line 28) | public interface Option extends Serializable {
method getName (line 35) | public String getName();
method getCLIChar (line 42) | public char getCLIChar();
method getPurpose (line 49) | public String getPurpose();
method getDefaultCLIString (line 56) | public String getDefaultCLIString();
method setValueViaCLIString (line 63) | public void setValueViaCLIString(String s);
method getValueAsCLIString (line 70) | public String getValueAsCLIString();
method resetToDefault (line 76) | public void resetToDefault();
method getStateString (line 83) | public String getStateString();
method copy (line 90) | public Option copy();
FILE: src/main/java/com/github/javacliparser/Options.java
class Options (line 30) | public class Options implements Serializable {//extends AbstractMOAObject {
method addOption (line 36) | public void addOption(Option opt) {
method numOptions (line 49) | public int numOptions() {
method getOption (line 53) | public Option getOption(String optName) {
method getOption (line 62) | public Option getOption(char cliChar) {
method getOptionArray (line 71) | public Option[] getOptionArray() {
method removeOption (line 75) | public void removeOption(String optName) {
method removeOption (line 79) | public void removeOption(Option opt) {
method removeAllOptions (line 83) | public void removeAllOptions() {
method resetToDefaults (line 87) | public void resetToDefaults() {
method setViaCLIString (line 93) | public void setViaCLIString(String cliString) {
method getAsCLIString (line 157) | public String getAsCLIString() {
method getHelpString (line 178) | public String getHelpString() {
method getHelp (line 184) | public void getHelp(StringBuilder sb, int indent) {
method splitParameterFromRemainingOptions (line 217) | protected static String[] splitParameterFromRemainingOptions(
method getDescription (line 264) | public void getDescription(StringBuilder sb, int indent) {
FILE: src/main/java/com/github/javacliparser/SerializeUtils.java
class SerializeUtils (line 41) | public class SerializeUtils {
class ByteCountingOutputStream (line 43) | public static class ByteCountingOutputStream extends OutputStream {
method getNumBytesWritten (line 47) | public int getNumBytesWritten() {
method write (line 51) | @Override
method write (line 56) | @Override
method write (line 61) | @Override
method writeToFile (line 67) | public static void writeToFile(File file, Serializable obj)
method readFromFile (line 76) | public static Object readFromFile(File file) throws IOException,
method copyObject (line 85) | public static Object copyObject(Serializable obj) throws Exception {
method measureObjectByteSize (line 100) | public static int measureObjectByteSize(Serializable obj) throws Excep...
FILE: src/main/java/com/github/javacliparser/StringOption.java
class StringOption (line 26) | public class StringOption extends AbstractOption {
method StringOption (line 34) | public StringOption(String name, char cliChar, String purpose,
method setValue (line 41) | public void setValue(String v) {
method getValue (line 45) | public String getValue() {
method getDefaultCLIString (line 49) | @Override
method getValueAsCLIString (line 54) | @Override
method setValueViaCLIString (line 59) | @Override
FILE: src/main/java/com/github/javacliparser/StringUtils.java
class StringUtils (line 28) | public class StringUtils {
method doubleToString (line 32) | public static String doubleToString(double value, int fractionDigits) {
method doubleToString (line 36) | public static String doubleToString(double value, int minFractionDigits,
method appendNewline (line 44) | public static void appendNewline(StringBuilder out) {
method appendIndent (line 48) | public static void appendIndent(StringBuilder out, int indent) {
method appendIndented (line 54) | public static void appendIndented(StringBuilder out, int indent, Strin...
method appendNewlineIndented (line 59) | public static void appendNewlineIndented(StringBuilder out, int indent,
FILE: src/main/java/com/github/javacliparser/examples/DoTask.java
class DoTask (line 26) | public class DoTask implements Configurable {
method init (line 34) | public void init() {
method main (line 39) | public static void main(String[] args) throws Exception {
FILE: src/main/java/com/github/javacliparser/examples/Task1.java
class Task1 (line 25) | public class Task1 implements Configurable {
method init (line 33) | public void init() {
FILE: src/main/java/com/github/javacliparser/examples/Task2.java
class Task2 (line 23) | public class Task2 implements Configurable {
method init (line 28) | public void init() {
FILE: website/assets/js/plugins/respond.js
function callMedia (line 333) | function callMedia(){
FILE: website/assets/js/plugins/responsive-nav.js
function rn (line 394) | function rn (el, options) {
FILE: website/assets/js/plugins/search.js
function initSearch (line 49) | function initSearch() {
function execSearch (line 72) | function execSearch(q) {
function toggleLoadingClass (line 87) | function toggleLoadingClass() {
function getSearchResults (line 98) | function getSearchResults(callbackFunction) {
function processData (line 107) | function processData() {
function showSearchResults (line 139) | function showSearchResults(results) {
function populateResultContent (line 151) | function populateResultContent(html, item) {
function populateResultsString (line 165) | function populateResultsString(count) {
function getParameterByName (line 184) | function getParameterByName(name) {
function injectContent (line 197) | function injectContent(originalContent, injection, placeholder) {
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"chars": 2730,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"chars": 1210,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
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"chars": 1014,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
},
{
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"chars": 1613,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
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"chars": 1015,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
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"chars": 7162,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"chars": 15942,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
},
{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/FeatureSplit.scala",
"chars": 1627,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
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"chars": 5736,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/HoeffdingTree.scala",
"chars": 19890,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/SplitCriterion.scala",
"chars": 7657,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/Utils.scala",
"chars": 2435,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/nodes/FoundNode.scala",
"chars": 819,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/nodes/InactiveLearningNode.scala",
"chars": 1802,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/nodes/LearningNode.scala",
"chars": 1655,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/nodes/LearningNodeNB.scala",
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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{
"path": "src/main/scala/org/apache/spark/streamdm/classifiers/trees/nodes/SplitNode.scala",
"chars": 3760,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"chars": 3063,
"preview": "/*\n * Copyright (C) 2015 Holmes Team at HUAWEI Noah's Ark Lab.\n *\n * Licensed under the Apache License, Version 2.0 (the"
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"path": "src/main/scala/org/apache/spark/streamdm/core/SparseInstance.scala",
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]
// ... and 111 more files (download for full content)
About this extraction
This page contains the full source code of the huawei-noah/streamDM GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 311 files (3.8 MB), approximately 1.0M tokens, and a symbol index with 171 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.