Machine Learning

winnow

nz.ac.waikato.cms.weka : winnow

Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318; N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz. Does classification for problems with nominal attributes (which it converts into binary attributes)

Последняя версия: 1.0.2

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WekaODF

nz.ac.waikato.cms.weka : WekaODF

WekaODF adds support to directory read from and write to spreadsheets in ODF (Open Document Format for Office Applications, ISO/IEC 26300:2006) format. ODF is used by the OpenOffice.org suite, for instance. WekaODF uses jOpenDocument (http://www.jOpenDocument.org, GPL) in order to read/write ODF spreadsheets.

Последняя версия: 1.0.4

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consistencySubsetEval

nz.ac.waikato.cms.weka : consistencySubsetEval

Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes. The consistency of any subset can never be lower than that of the full set of attributes, hence the usual practice is to use this subset evaluator in conjunction with a Random or Exhaustive search which looks for the smallest subset with consistency equal to that of the full set of attributes. See: H. Liu, R. Setiono: A probabilistic approach to feature selection - A filter solution. In: 13th International Conference on Machine Learning, 319-327, 1996.

Последняя версия: 1.0.4

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kfGroovy

nz.ac.waikato.cms.weka : kfGroovy

Knowledge Flow plugin that provides a Knowledge Flow step that wraps around a Groovy script. The plugin generates a fully compilable template Groovy script that implements various Knowledge Flow interfaces. The user can fill in the methods that are necessary to accomplish the desired logic. The script is compiled at runtime and the Groovy component passes incoming events to the script and collects and passes on generated events.

Последняя версия: 1.0.12

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generalizedSequentialPatterns

nz.ac.waikato.cms.weka : generalizedSequentialPatterns

Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the distinct data sequences contained in the set can be determined by the respective option. Furthermore, the set of output results can be restricted by specifying one or more attributes that have to be contained in each element/itemset of a sequence. For further information see: Ramakrishnan Srikant, Rakesh Agrawal (1996). Mining Sequential Patterns: Generalizations and Performance Improvements.

Последняя версия: 1.0.2

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costSensitiveAttributeSelection

nz.ac.waikato.cms.weka : costSensitiveAttributeSelection

This package provides two meta attribute selection evaluators - one for performing cost-sensitive attribute evaluation (CostSensitiveAttributeEval) and a second for performing cost-sensitive subset evaluation (CostSensitiveSubsetEval). Both methods take a cost matrix and a base evaluator. If the base evaluator can handle instance weights, then the training data is weighted according to the cost matrix, otherwise the training data is sampled according to the cost matrix.

Последняя версия: 1.0.3

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SVMAttributeEval

nz.ac.waikato.cms.weka : SVMAttributeEval

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

Последняя версия: 1.0.2

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associationRulesVisualizer

nz.ac.waikato.cms.weka : associationRulesVisualizer

visualization component for displaying association rules that uses a modified version of the Association Rules Viewer from DESS IAGL of Lille. Requires Java 3D to be installed.

Последняя версия: 1.0.2

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Proto-RExp

org.jpmml : proto-rexp

Java library for reading and writing RProtoBuf messages

Последняя версия: 1.0.0

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JPMML-SparkML

org.jpmml : jpmml-sparkml

Java library and command-line application for converting Apache Spark ML pipelines to PMML

Последняя версия: 2.2.0

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Последняя версия: 0.6.1

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kie-jpmml-integration

org.kie : kie-jpmml-integration

The parent contains all metadata (including plugins) including dependency versions. All modules, except for user BOMS, should (transitively) inherit from this parent.

Последняя версия: 7.71.0.Final

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JPMML-Evaluator-Spark

org.jpmml : pmml-evaluator-spark

PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)

Последняя версия: 1.0.0

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JPMML-H2O

org.jpmml : jpmml-h2o

Java library and command-line application for converting H2O.ai models to PMML

Последняя версия: 1.2.4

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JPMML-Python

org.jpmml : jpmml-python

Java library for converting Python models to PMML

Последняя версия: 1.1.6

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JPMML-Converter

org.jpmml : jpmml-converter

Java library for authoring PMML

Последняя версия: 1.5.3

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JPMML-SkLearn

org.jpmml : jpmml-sklearn

Java library and command-line application for converting Scikit-Learn pipelines to PMML

Последняя версия: 1.7.8

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JPMML-R

org.jpmml : jpmml-r

Java library and command-line application for converting R models to PMML

Последняя версия: 1.5.1

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Последняя версия: 1.0.22

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JPMML example

org.jpmml : example

JPMML API usage examples

Последняя версия: 1.0.0

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JPMML-Model

org.jpmml : jpmml-model

Java class model API for Predictive Model Markup Language (PMML)

Последняя версия: 1.6.3

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JPMML-Transpiler

org.jpmml : jpmml-transpiler

Java transpiler (translator + compiler) API for Predictive Model Markup Language (PMML)

Последняя версия: 1.3.0

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Последняя версия: 1.4.15

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JPMML Cascading

org.jpmml : pmml-cascading

JPMML Cascading library

Последняя версия: 1.2.2

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Seldon Core JPMML Utilities

io.seldon.wrapper : seldon-core-jpmml

Utility functions to allow JPMML models to be used with seldon-core

Последняя версия: 0.0.1

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Последняя версия: 0.6.3

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JPMML-Evaluator-Spark

org.jpmml : jpmml-evaluator-spark

PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)

Последняя версия: 1.3.0

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JPMML-XGBoost

org.jpmml : jpmml-xgboost

Java library and command-line application for converting XGBoost models to PMML

Последняя версия: 1.7.0

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JPMML-Cascading

org.jpmml : jpmml-cascading

PMML evaluator library for the Cascading application framework (http://www.cascading.org/)

Последняя версия: 1.2.2

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JPMML-Evaluator

org.jpmml : jpmml-evaluator

Java evaluator API for Predictive Model Markup Language (PMML)

Последняя версия: 1.6.3

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JPMML-LightGBM

org.jpmml : jpmml-lightgbm

Java library and command-line application for converting LightGBM models to PMML

Последняя версия: 1.4.3

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samoa-storm

org.apache.samoa : samoa-storm

Storm bindings for SAMOA

Последняя версия: 0.5.0-incubating

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persian-date-ktx

me.moallemi : persian-date-ktx

Persian Date and Persian Calendar for Java, Kotlin and Android

Последняя версия: 0.0.2

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Последняя версия: 0.1.0

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Последняя версия: 0.7.1

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com.github.moaxcp:recMD5

com.github.moaxcp : recMD5

A recoverable md5 algorithm. Creates an MD5 that can be restarted without reading the entire input again.

Последняя версия: 1.0.1

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com.pwrdrvr.microapps:nextjsdemoappcdk

com.pwrdrvr.microapps : nextjsdemoappcdk

NextJS Demo app deployed to the MicroApps framework

Последняя версия: 0.2.1

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samoa-apex

org.apache.samoa : samoa-apex

Apex bindings for SAMOA

Последняя версия: 0.5.0-incubating

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mtn-momoapi-java-plugin

com.plydot : mtnmomoapi

This is a java plugin to allow developers using the mtn momo api in Uganda to get ahead to productivity rather than dwell down in the semantics of authentication, authorization and request wrappers.

Последняя версия: 1.18

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samoa-samza

org.apache.samoa : samoa-samza

Samza engine for SAMOA

Последняя версия: 0.5.0-incubating

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Последняя версия: 1.1.0

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samoa-test

org.apache.samoa : samoa-test

Test suite module for SAMOA

Последняя версия: 0.5.0-incubating

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ner

org.moara.yido : ner

Named Entity Recognizer

Последняя версия: 0.1.0

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NB Java Decompiler

io.github.moacirrf : nb-java-decompiler

A Java Decompiler for Apache Netbeans.

Последняя версия: 1.0.1

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NTLMv2 Filter-Using Demo Application

ch.poweredge.ntlmv2-auth : ntlmv2-demoapp

Demo application which shows how to use the NTLMv2 authentication filter.

Последняя версия: 1.0.5

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Последняя версия: 1.1.0

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FireBots

dev.moataz : firebots

A wrapper library for Firebase for Android.

Последняя версия: 0.0.5

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Последняя версия: 1.0.3

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Последняя версия: 0.14.0

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samoa-s4

com.yahoo.labs.samoa : samoa-s4

S4 bindings for SAMOA

Последняя версия: 0.2.0

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