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RapidMiner Studio for MAC – Comprehensive data science platform with visual workflow design and full automation. This app was build by RAPIDMINER Inc. and today updated into the last version. Download this Productivity app for free now on Apps4Mac.com
RapidMiner Studio for MAC Latest Version
RapidMiner Studio for Mac: Free Download + Review [Latest Version]. Before you download the .dmg file, here we go some fact about RapidMiner Studio that maybe you want to need to know.
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App Name | RapidMiner Studio App |
File Size | 302.9 MB |
Developer | RAPIDMINER |
Update | 2021-03-26 |
Version | 9.9.0 |
Requirement | OS X 10.8.0 |
License | Paid • Subscription |
About RapidMiner Studio App for MAC
RapidMiner Studio is a comprehensive data science platform with visual workflow design and full automation
Features
Visual Workflow Designer
Increase productivity across the entire data science team, from analysts to experts
Connect to Any Data Source
Work with all of your data, no matter where it lives
Automated In-Database Processing
Run data prep and ETL inside databases to keep your data optimized for advanced analytics
Data Visualization & Exploration
Evaluate data health, completeness, and quality
Data Prep & Blending
Eliminate the hassle of preparing data for predictive modeling
Visual & Automated Machine Learning
Quickly create impactful machine learning models without writing code
Model Validation
Understand the true performance of a model before deploying to production
Explainable Models Not Black Boxes
Create visual data science workflows that are easy to explain and easy to understand
Get More From R & Python Code
Scalable code deployment and collaboration between coders and non-coders
Flexible Scoring & Model Operations
Turn predictive insights into business impact
Automation & Process Control
Build sophisticated visual workflows and automate important tasks
Open & Extensible
Integrate with existing applications and code
New Features
Version 9.9.0:
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)
- Improved the FP-Growth operator so that it only works with explicitly defined positive values (either via binominal attributes or the positive value parameter) for items in dummy coded columns
- Improved memory consumption of Cross Validation in certain circumstances
- The operators Read CSV and Read Excel were improved to use the new data core
- Pivot now supports Least and Mode aggregations for numerical attributes as well
- Annotate now adds the annotations to the meta data as well
- Added warning when trying to run a process on an AI Hub with a lower feature version than the current Studio version
- Added a reason when displaying incompatible extensions in the dialog after startup to show why an extension failed to load. Details available via tooltip.
- Upgraded integrated Chromium to version 84
- Improved some metadata transformation w.r.t. nominal value sets
- The splashscreen no longer shows duplicate extension icons during startup if more than one copy of an extension is installed
- Visualizations now also support Least and Mode aggregations for numerical attributes
- Improved concurrent execution in some corner cases
- Deprecated the Exchange Roles operator
- Model viewer for Gradient Boosted Tree models now respects the Number format settings in Studio preferences
- Auto Model uses new clustering algorithms which no longer require one-hot encoding on the data set and therefore reduce the memory footprint for data sets with nominal columns with many values. As a result, users can no longer specify the minimum number of clusters in the X-Means case (automatic determination of the optimal number of clusters). The minimum is now fixed at 2.
- Time Series: Added the option to ignore invalid values to the Moving Average Filter operator: Invalid values (missing, positive and negative infinity are now ignored when calculating the filtered value
- This also results in valid values at the beginning and end of the filtered time series
- As the Classic Decomposition and the Function and Seasonal Component Forecast are based on the Moving Average Filter, the also have now the “ignore invalid values” option
Bugfixes:
- Fixed Data Table reading/writing when LFS light checkout is enabled
- Fixed a problem where an uncaught exception could go through when using date/time attributes with values in the far future/past
- Fixed an uncaught exception that could happen when the process run via Execute Process failed, the user opened it via the popup and ran it directly after fixing the problem
- Fixed wrong attribute weights for Random Forest regression
- Fixed error in Store operator when used after application of k-Means model
- Fixed issue that Save dialogs did not accept any selection if a wildcard (.*) filter was provided (e.g. for Write Document)
- Fixed Pivot meta data column names not matching the real data
- Fixed missing text for the file restoring confirm dialog in projects
- Fixed an issue that could cause Studio startup to silently fail
- Fixed a possible error during startup w.r.t port preconditions on some operators
- Fixed a bug that could cause project creation to not show an error and appear to do nothing
- Removed check for preprocessing models in model deployments for custom models. This has been causing certain grouped models to fail if they contained models which have technically been not preprocessing models (e.g. PCA).
- Time Series: Fixed a bug for the Lag operator, which caused original data to be changed at preceding ports as well
- Time Series: Fixed some small errors in the description of two tutorial processes for Sliding Window Validation
- Time Series: Fixed an error, which occurs in time-based windowing, when the end of the last window is equal to the last timestamp in the input data. This effects all windowing operators (Windowing, Process Windows, Forecast Validation, Sliding Window Validation).
- Cloud Connectivity: File browser now adds the correct path separator character on Windows, and resolves macros properly for AWS, Azure, and Google Cloud file operators
Installing Apps on MAC
Most Mac OS applications downloaded from outside the App Store come inside a DMG file. Like if you wanna download RapidMiner Studio for mac from this page, you’ll directly get the .dmg installation file into your MAC.
- First, download the RapidMiner Studio .dmg installation file from the official link on above
- Double-click the DMG file to open it, and you’ll see a Finder window.
- Often these will include the application itself, some form of arrow, and a shortcut to the Applications folder.
- Simply drag the application’s icon to your Applications folder
- And you’re done: the RapidMiner Studio is now installed.
- When you’re done installing: just click the “Eject” arrow.
- Then you can feel free to delete the original DMG file: you don’t need it anymore.
- Now, enjoy RapidMiner Studio for MAC !
You don’t have to put your programs in the Applications folder, though: they’ll run from anywhere. Some people create a “Games” directory, to keep games separate from other applications. But Applications is the most convenient place to put things, so we suggest you just put everything there.
DMG files are mounted by your system, like a sort of virtual hard drive. When you’re done installing the application, it’s a good idea to unmount the DMG in Finder.
Uninstall Apps on MAC
Removing RapidMiner Studio apps is more than just moving them to the Trash — it’s completely uninstalling them. To completely uninstall a program on MacBook/iMac, you have to choose one of the options on below.
Method 1: Remove apps using Launchpad
Another manual way to delete RapidMiner Studio apps from your Mac is using the Launchpad. Here’s how it works:
- Click Launchpad icon in your Mac’s Dock.
- Find the RapidMiner Studio that you want to delete.
- Click and hold the RapidMiner Studio icon’s until it starts shaking.
- Click X in the top-left corner of the app icon.
- Click Delete.
Method 2: Delete MAC apps with CleanMyMac X
Now it’s time for the safe and quick app uninstalling option. There’s a safest way to uninstall RapidMiner Studio on Mac without searching all over your Mac, and that’s by using CleanMyMac X.
- Launch CleanMyMac X and click on Uninstaller in the left menu.
- Select the , you can either uninstall it or, if it’s not acting as it should, you can perform an Application Reset.
- Click on Uninstall or choose Application Reset at the top.
- Now that the application cleanup is complete, you can view a log of the removed items, or go back to your app list to uninstall more.
- And you’re done to remove RapidMiner Studio from your MAC!
RapidMiner Studio Alternative App for MAC
Here we go some list of an alternative/related app that you must try to install into your lovely MAC OSX
Disclaimer
This RapidMiner Studio .dmg installation file is completely not hosted in our Hosting. When you click the “Download” button on this web page, files will downloading directly in the owner sources Official Site. RapidMiner Studio is an app for MAC that created by Inc. We’re not straight affiliated with them. All trademarks, registered trademarks, item names and company names or logos that mentioned in right here would be the assets of their respective owners. We are DMCA-compliant and gladly to work with you.