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net.solarnetwork.node.datum.weather.nz.metservice from group net.solarnetwork.node (version 5.0.1)

Collect weather data from the New Zealand MetService.

Group: net.solarnetwork.node Artifact: net.solarnetwork.node.datum.weather.nz.metservice
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Artifact net.solarnetwork.node.datum.weather.nz.metservice
Group net.solarnetwork.node
Version 5.0.1
Last update 17. December 2023
Organization not specified
URL https://github.com/SolarNetwork/solarnetwork-node/tree/develop/net.solarnetwork.node.datum.weather.nz.metservice
License GNU General Public License (GPL) version 2.0
Dependencies amount 6
Dependencies super-csv, net.solarnetwork.common, net.solarnetwork.node, slf4j-api, spring-beans, spring-context,
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net.solarnetwork.node.datum.price.nz.wits from group net.solarnetwork.node (version 1.0.2)

Collect electricity market price data from the New Zealand Electricity Authority.

Group: net.solarnetwork.node Artifact: net.solarnetwork.node.datum.price.nz.wits
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Artifact net.solarnetwork.node.datum.price.nz.wits
Group net.solarnetwork.node
Version 1.0.2
Last update 19. July 2024
Organization not specified
URL https://github.com/SolarNetwork/solarnetwork-node/tree/develop/net.solarnetwork.node.datum.price.nz.wits
License GNU General Public License (GPL) version 2.0
Dependencies amount 8
Dependencies net.solarnetwork.common, net.solarnetwork.node, scribejava-core, scribejava-httpclient-apache, httpclient, httpasyncclient, slf4j-api, spring-context,
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nzilbb.papareo from group nz.ilbb.papareo (version 0.1.0)

Java client for for Papa Reo API, which performs speech recognition and alignment for recordings of te reo Māori and New Zealand English.

Group: nz.ilbb.papareo Artifact: nzilbb.papareo
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Artifact nzilbb.papareo
Group nz.ilbb.papareo
Version 0.1.0
Last update 22. November 2023
Organization not specified
URL https://github.com/nzilbb/papareo
License AGPL-3.0-or-later
Dependencies amount 3
Dependencies javax.json, httpclient, httpmime,
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NNge from group nz.ac.waikato.cms.weka (version 1.0.2)

Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.

Group: nz.ac.waikato.cms.weka Artifact: NNge
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Artifact NNge
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/NNge
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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paceRegression from group nz.ac.waikato.cms.weka (version 1.0.2)

Class for building pace regression linear models and using them for prediction. Under regularity conditions, pace regression is provably optimal when the number of coefficients tends to infinity. It consists of a group of estimators that are either overall optimal or optimal under certain conditions. The current work of the pace regression theory, and therefore also this implementation, do not handle: - missing values - non-binary nominal attributes - the case that n - k is small where n is the number of instances and k is the number of coefficients (the threshold used in this implmentation is 20) For more information see: Wang, Y (2000). A new approach to fitting linear models in high dimensional spaces. Hamilton, New Zealand. Wang, Y., Witten, I. H.: Modeling for optimal probability prediction. In: Proceedings of the Nineteenth International Conference in Machine Learning, Sydney, Australia, 650-657, 2002.

Group: nz.ac.waikato.cms.weka Artifact: paceRegression
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Artifact paceRegression
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/paceRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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