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chart-parser from group com.robinhowlett (version 1.2.1.RELEASE)

Parses horse racing result PDF charts

Group: com.robinhowlett Artifact: chart-parser
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Artifact chart-parser
Group com.robinhowlett
Version 1.2.1.RELEASE
Last update 08. June 2018
Organization not specified
URL https://github.com/robinhowlett/chart-parser
License MIT License
Dependencies amount 11
Dependencies pdfbox, bcprov-jdk15on, bcmail-jdk15on, bcpkix-jdk15on, jackson-module-parameter-names, jackson-datatype-jdk8, jackson-datatype-jsr310, jackson-dataformat-csv, spring-hateoas, slf4j-api, logback-classic,
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horse-racing-parser from group com.robinhowlett (version 1.0.0.RELEASE)

A foundation to build horse racing-related parsers on top of

Group: com.robinhowlett Artifact: horse-racing-parser
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Artifact horse-racing-parser
Group com.robinhowlett
Version 1.0.0.RELEASE
Last update 01. December 2019
Organization not specified
URL https://github.com/robinhowlett/horse-racing-parser
License MIT License
Dependencies amount 1
Dependencies horse-racing-data-model,
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horse-racing-parser-parent from group com.robinhowlett (version 1.0.0.RELEASE)

Parent POM for implementing horse racing parser projects

Group: com.robinhowlett Artifact: horse-racing-parser-parent
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Artifact horse-racing-parser-parent
Group com.robinhowlett
Version 1.0.0.RELEASE
Last update 30. November 2019
Organization not specified
URL https://github.com/robinhowlett/horse-racing-parser-parent
License MIT License
Dependencies amount 0
Dependencies No dependencies
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horse-racing-data-model from group com.robinhowlett (version 1.0.0.RELEASE)

A data model to represent the majority of pertinent information contained within the basic horse racing domain.

Group: com.robinhowlett Artifact: horse-racing-data-model
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Artifact horse-racing-data-model
Group com.robinhowlett
Version 1.0.0.RELEASE
Last update 30. November 2019
Organization not specified
URL https://github.com/robinhowlett/horse-racing-data-model
License MIT License
Dependencies amount 9
Dependencies jackson-module-parameter-names, jackson-datatype-jdk8, jackson-datatype-jsr310, jackson-dataformat-csv, spring-hateoas, commons-lang, slf4j-api, logback-core, logback-classic,
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racedIncrementalLogitBoost from group nz.ac.waikato.cms.weka (version 1.0.2)

Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.

Group: nz.ac.waikato.cms.weka Artifact: racedIncrementalLogitBoost
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Artifact racedIncrementalLogitBoost
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/racedIncrementalLogitBoost
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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raceSearch from group nz.ac.waikato.cms.weka (version 1.0.2)

Races the cross validation error of competing attribute subsets. Use in conjuction with a ClassifierSubsetEval. RaceSearch has four modes: forward selection races all single attribute additions to a base set (initially no attributes), selects the winner to become the new base set and then iterates until there is no improvement over the base set. Backward elimination is similar but the initial base set has all attributes included and races all single attribute deletions. Schemata search is a bit different. Each iteration a series of races are run in parallel. Each race in a set determines whether a particular attribute should be included or not---ie the race is between the attribute being "in" or "out". The other attributes for this race are included or excluded randomly at each point in the evaluation. As soon as one race has a clear winner (ie it has been decided whether a particular attribute should be inor not) then the next set of races begins, using the result of the winning race from the previous iteration as new base set. Rank race first ranks the attributes using an attribute evaluator and then races the ranking. The race includes no attributes, the top ranked attribute, the top two attributes, the top three attributes, etc. It is also possible to generate a raked list of attributes through the forward racing process. If generateRanking is set to true then a complete forward race will be run---that is, racing continues until all attributes have been selected. The order that they are added in determines a complete ranking of all the attributes. Racing uses paired and unpaired t-tests on cross-validation errors of competing subsets. When there is a significant difference between the means of the errors of two competing subsets then the poorer of the two can be eliminated from the race. Similarly, if there is no significant difference between the mean errors of two competing subsets and they are within some threshold of each other, then one can be eliminated from the race.

Group: nz.ac.waikato.cms.weka Artifact: raceSearch
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Artifact raceSearch
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/raceSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, classifierBasedAttributeSelection,
There are maybe transitive dependencies!



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