RapidMiner Community Edition 9.10.0 freeware

RapidMiner is the world-wide leading data mining solution due to the combination of its ... Applications of RapidMiner have a wide spread in data mining all over the world. ...

Author Rapid-I GmbH
Released 2021-08-12
Filesize 269.00 MB
Downloads 172
OS Windows XP, Windows Vista, Windows 7, Windows 8, Windows 10
Installation Instal And Uninstall
Keywords data miner, business intelligence, data analyzer, analyzer, analyze, checker
Users' rating
(7 rating)
RapidMiner Community Edition - data miner Freeware Download Notice

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RapidMiner Community Edition freeware - The Latest User Reviews
RapidMiner Community Edition freeware - The Latest Versions History
9.10.0 Aug 12, 2021 New Release
9.9.0 Mar 24, 2021 New Release New Features:
Data is the central piece in any RapidMiner process. The way RapidMiner internally deals with data has fundamentally changed in this release with the new Data Core (codename Belt). Its new columnar table representation provides a quantum leap in processing speed and memory efficiency for RapidMiner processes. Multiple operators already use it internally and it becomes fully available now for extension developers to create fast and efficient operators.
Added a Set Positive Value operator for the new Data Core which can make nominal attributes binominal or change the positive value of binominal attributes
Enhancements:
Replaced the Rename by Example Values operator by a new and improved version
Replaced the Rename operator by a new one that can additionally handle a renaming dictionary
Replaced the Sort operator by one that can sort by multiple attributes (currently already part of the Operator Toolbox extension)
9.8.1 Dec 3, 2020 New Release New Features:
Added new operators to delete data from Azure Cloud:
Delete Azure Blob Storage Resource
Delete Azure Data Lake Storage Resource
Delete Azure Data Lake Storage Gen2 Resource
Enhancements:
All Loop cloud operators (e.g. Loop Amazon S3, Loop Azure Blob Storage, etc) now only download a file when another operator reads its content. The memory footprint may also decrease by 50%, and unnecessary writes to the disk are avoided.
Bugfixes:
Continue RapidMiner Studio start if proxy discovery fails
Added missing Cluster attribute to metadata when applying a KMeans model via Apply Model
Fixed a regression in Generalized Linear Model (GLM) model training. It again accepts weighted training data
Auto Model Clustering showed incorrect results, ignoring training data normalization and attribute reordering
Fixed AbstractMethodError when using very old JDBC drivers (built for Java 6 and earlier) to connect to SQL databases.

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