Brave Browser (64-bit)

最新版本 KNIME 4.5.0

KNIME 4.5.0

KNIME 4.5.0
新的勇敢的瀏覽器 64 位自動阻止廣告和跟踪器,使其比目前的瀏覽器更快,更安全。除了真實的內容,一切頁面的加載速度都是驚人的。最多 60%的網頁加載時間是由每次在您最喜歡的新聞網站上打開頁面時加載到各個位置的基礎廣告技術引起的。其中 20%的時間花在加載試圖了解更多關於你的東西上。下載勇敢的瀏覽器 64 位脫機安裝程序安裝程序!

Brave 底層是一個基於 Chromium 的網絡瀏覽器,這意味著它的性能和網絡兼容性是非常相似的基於 Chromium 的其他瀏覽器.

Brave 瀏覽器功能:

Browse 更快 61225896Brave 塊跟踪和侵入性的廣告,可以放慢你在網絡上.

瀏覽更安全
Brave 64 位讓你和你的信息更安全,有效地屏蔽你從第三方跟踪和 malletin.

Browse Better
With 勇敢,你可以選擇是否看到廣告,尊重您的隱私或支付網站直接。無論哪種方式,您都可以在幫助資助內容創作者方面感覺良好.

阻止有害的廣告
在城裡有一個新的廣告遊戲。這就是所謂的“惡意廣告”。最新的展示廣告技術可以在您不知情的情況下在您的筆記本電腦上安裝惡意程但不能與勇敢的看著你的後背.

Brave 將網站重定向到 HTTPS
“我們已經將 HTTPS Everywhere 集成到每個勇敢的瀏覽器中,以確保您始終將您的位移到最安全的管道。下載勇敢的瀏覽器 64 位離線安裝程序安裝程序!

阻止塊跟踪像素和跟踪 Cookie
您是否曾經有過這樣的感覺,即當您看到某個廣告前幾天購買了某個東西時,有人在註視著您?當您在網上購物並瀏覽您最喜愛的網站時,我們確保您沒有被追踪.

也可用:下載 Brave Browser for Mac

ScreenShot

軟體資訊
檔案版本 KNIME 4.5.0

檔案名稱 KNIME 4.5.0 Installer (64bit).exe
檔案大小
系統 Windows 7 64 / Windows 8 64 / Windows 10 64
軟體類型 開源軟體
作者 Brave Software Inc.
官網 https://www.brave.com
更新日期 2021-12-07
更新日誌

What's new in this version:

New nodes:
- Python Script (Labs) ("zero copy" data exchange giving significant performance improvements)
- Workflow Service: New nodes to build and call (remote) workflows, incl. support for dynamic and large data (Labs)
- Set Files/Folders Permissions
- MongoDB Run Command
- KNIME Mountpoint Connector
- MongoDB Aggregation node
- KNIME Workflow Data Area Connector
- SharePoint Online List Reader
- Local File System Connector
- Binary Object to Model and Model to Binary Object nodes
- Excel Cell Updater
- Parameter Optimization Loop Start with table input
-Generic S3 Connector

Enhancements:
- "Column Backend" table storage format moved out of KNIME Labs (ready for production use)
- Add option to read POSIX attributes to Files/Folders Meta Info node
- Support code completion in MongoDB nodes
- Support bulk execution in MongoDB for better performance
- Support Azure AD login in Snowflake Connector
- Support Azure AD login in MS SQL Server Connector
- WEKA models should not be kept in memory
- Support Kerberos authentication in PostgreSQL Connector node
- Add node decorator for single selection widgets with active re-execution setting
- Configure re-execution in single selection widget node
- Feature Request: Add "Reply to" field in Send Email node
- Support database connection initialization statement on KNIME Server
- JDBC parameter type DELEGATED_GSS_CREDENTIAL to support Kerberos constrained delegation for Microsoft SQL Server
- Deprecation of "Pipeline Pilot Connector" (users instructed to consume Pipeline Pilot's REST API)
- Recursive Loop Start and End Node to support dynamic ports
- Power BI: Improve error message in dialog if the authentication is not working
- Add dynamic port support to Counting Loop Start, Interval Loop Start and Generic Loop Start nodes
- Numeric Scorer: add adjusted R Square
- Cleanup Views available in the AP
- Support Java-based constrained delegation in DB Connector nodes
- Configure re-execution in widgets with clear defined action
- REST nodes: Additional column with error cause
- Support more recent Python version(s)
- Sunburst Chart with Option to show Tool tip text
- Platform-aware fuzzy logic / heuristics for Conda Env Prop node
- Option to check for missing values in a DB WHERE clause
- Store time zone with component/metanode template
- Case Switch (replacing old "Case Switch (...)" nodes, now with dynamic ports)
- Add option to append rows to an existing sheet in Excel Writer
- Add option to update/remove links on linked components/metanodes in captured Workflow Segments
- Add dynamic port support to Loop End and Variable Condition Loop End nodes
- Microsoft SQL Server driver updated to version 9.4.0
- Pattern Filter Panel with option to exclude items that match the pattern
- Redshift support for DB Loader
- Table Editor (JavaScript): Support dropdown selection for string columns
- Add Kerberos authentication support to REST Client Nodes (GET, POST, ...)
- (Big Data Extensions): Add support for new type annotations in Parquet Reader
- (Big Data Extensions): Support legacy LIST format in Parquet Reader

Fixed:
- Workflow Executor does not apply new port configuration when configured in executed/green state
- Azure Blob Storage Connection does not allow listing/browsing container root despite SAS token permission
- Threads for shuffling the training data have no NodeContext
- Python Serializers create tables in threads without NodeContext
- AbstractDataInputDelegator does not fulfill InputStream#read(byte[],int,int) contract
- UpdatedColumnarValueSchema doesn't preserve table spec name
- Index Query node (knime-lucene) doesn't catch DuplicateKeyException on BufferedDataContainer#close
- SHAP and Shapley Values Loop fail because of already closed resources
- Document Parsers don't support KNIME URLs
- Class Cast exception when materializing Table for Python3
- Re-execution does not show error although workflow execution failed
- "Regression Tree" appears twice in any port type selector (one is deprecated and should be hidden)
- NPE when releasing MappedByteBuffer
- External XML entity injection in workflow.knime files
- IllegalArgumentException in Testworkflows
- Unnecessary call exceptions spam log
- Error when attempting to close open closeable
- Memory leak with Fast Tables and "Add Empty Rows"
- MongoDB manipulation nodes do not check column name in configure
- Memory leak in Voting Loop End causes hanging workflows
- Polynomial Regression Learner: Multiple R-Squared is incorrect
- Division by zero when creating cursor of empty AbstractColumnarContainerTable
- NER Tag set lacks PERCENT tag value
- Wait... node should not block a worker thread from the thread pool when waiting for file
- R conda environment: Handle different capitalization of PATH on Windows
- Text Output node throws NPE for string flow variables with null value
- Division by zero leads to "NaN" in the scorer
- “Interval Loop Start” can cause infinite loops due to floating point precision problems
- Suboptimal estimation of default thread count (#cores + 2) -- new default to be 3 / 2 * #cores
- Allow leaving R preference page with invalid R home
- Component could not be updated if name contains a special character
- Error when opening views (most likely CEF only)
- String Manipulation logic breaks if KNIME open too long
- Deep learning still relying on long-deprecated pandas.DataFrame.convert_objects method
- Donut Chart shows title in the middle with weird default color
- Keybinding conflicts when starting KNIME AP
- Relative to current mountpoint/workflow and should allow to delete/copy/move workflows within the mountpoint
- Python model size is limited by serializer buffer size
- Workflow temp directory deleted while workflow is running
- (Big Data Extensions): Hive Loader should fail with a human readable error message if the file system connection is not supported

KNIME 4.5.0 相關參考資料
Download

KNIME Analytics Platform is a free and open source low-code/no-code software that allows anyone, irrespective of experience levels, to make sense of data.

https://www.knime.com

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沒有這個頁面的資訊。

https://www.knime.com

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Previous Versions

I have read and accept the terms and conditions to download KNIME Analytics Platform (open source license) and I accept the Privacy Policy.

https://www.knime.com

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