投稿時間:2023-04-02 06:11:18 RSSフィード2023-04-02 06:00 分まとめ(11件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
海外TECH	DEV Community	apt-key'in deprecate olması	https://dev.to/aciklab/apt-keyin-deprecate-olmasi-1ph7	apt key x in deprecate olmasıMuhtemelen Ubuntu ve Debian tabanlısistemlerinizde farklıkaynaklardaki depolarıeklerken karşınıza aşağıdaki gibi bir hata çıkmaktadır ve her apt update komutunda çıkarak canınızısıkmaktadır W http deb dists stable InRelease Key is stored in legacy trusted gpg keyring etc apt trusted gpg see the DEPRECATION section in apt key for details Normalde tamamen dikkat warning içeren bir hata kaydıolsa da yani sisteminizi etkilemse de bir şekilde can sıkıcıolmaktadır Öncelikle bu sorunun kaynağıapt key ile eklenen anahtarların etc apt trusted gpg dosyasıiçerisine eklenmesidir Eskiden tüm apt depo anahtarlarıbu dosya içerisinde peşpeşe eklenmekte idi Bu dosya yerine artık anahtarlar etc apt trusted gpg d klasörüaltında ayrıayrıtutulmasıbeklenmektedir Dolayısıyla çözümüde aşağıdaki komut kadar basit şekilde geçilebilmektedir mv etc apt trusted gpg etc apt trusted gpg d trusted gpgBu komutla birlikte sisteminizdeki bir anahtar yapısınıbozmadan artık apt update komutu ile yukarıdaki gibi bir hata mesajıalmayacaksınız	2023-04-01 20:54:20
海外TECH	DEV Community	Introduction to Data Version Control	https://dev.to/archybrendah/introduction-to-data-version-control-2g1a	Introduction to Data Version ControlData Version Control is a free open source system that ensures management for data machine learning experiments and machine learning automations By ensuring that scientist do not have to worry about which data model uses which dataset and the actions carried out to achieve the result work has been made easier Data scientists are able to manage large datasets with ease making collaboration better Data Version Control was first released in as a simple command line tool It is based on existing version control tools like Git and CI It tracks the changing versions of data and every commit changes done to any file Therefore DVC is like git for machine learning projects The dvc file is lightweight hence stored with code in github The dvc files is downloaded together with code from github the large datasets used and the model files are always stored on the DVC remote storage while the dvc files that points to the data files are stored on github DVC design principles Codification Definition of the project aspects like data and model versions or machine learning experiments in metafiles that are readable by humans Versioning Commit DVC metafiles to git which enables the versioning and sharing of the entire project that is datasets source code and configuration parameters and metrics using git Secure Collaboration Control the access and permissions to the project Characteristics of DVCData Version Control takes advantage of existing technologies with the aim of bringing the best software engineering practices to the field of data science Some of the characteristics of DVC include Easy to use and install DVC doesnt require special infrastructure and knowledge Furthermore it does not depend on any external services DVC can be easily intergrated with existing tools like Git Can work on top of Git Repo DVC sticks to the git workflow like commit branching requests pull push clone etc It can also work on its own without the versioning capabilities DVC doesn t depend on the platform It can run and work on all major operating systems It is independent of the programming languages and the machine learning libraries How to install Data Version Control on windowsDVC can be installed on both Linux and macOS However we will look into the windows installation in this article To use DVC as a Python library you can install it with conda or with pip Installation with chocoTo install from command line use Chocolatey by using the choco command choco install dvcInstallation with conda Requires minioconda or anaconda distribution Use conda from anaconda prompt conda install c conda forge mamba mamba install c conda forge dvcInstallation using pip Virtual environment creation is recommended or using pipx to encapsulate your local environment Python is needed to get the latest version of DVC pip install dvc Windows Installer Go to the homepage and get the self contained executable installer which is available from the Download button You can also get it from the release page on GitHub To update the DVC download and run the installer again Use Windows Uninstaller incase you want to uninstall the program from your machine Advantages of Data Version ControlOrganized Machine learning data Data pipeline concept is used by DVC to version data using Git The pipelines being lightweight allow organization and reproduciblity of workflows Share Models via Cloud Storage Using a centralized data storage scientists find it easy to perform experiments on a single shared machine which leads to better resource utilization Reproducibility DVC repositories store the history and details such what changes were made and when It can also use no code pulls to update requests with just one commit The easy to use command line interface allow scientists to reproduce and organize feature stores with dvc get and dvc import commits Track amp Visualize ML Models Versioning is achieved using Git workflows such as pull and push requests DVC built in cache is used to store all the machine learning information which are further synchronized with remote cloud storage DVC therefore allows for the tracking of data and models for further versioning Disadvantages of DVCa Poor Performance in Sloppy ArchitectureData version control works alongside Git hence the team members are not able to enjoy the full benefits of this version control system if some information about the datasets for a given project is mising Teams may have to manually develop extra features in DVC to meet certain demands of ML b RedundancyDVC uses pipeline management hence any use of a separate pipeline tool leads to redundancy c Incorrect Configuration RiskShould the working team forget to add the output file there is always a risk of incorrect confirguration of the pipeline Furthermore a DVC produced version of project from last year may not work the same in today s circumstance	2023-04-01 20:22:28
海外TECH	CodeProject Latest Articles	Measurements of Earth's Flatness	https://www.codeproject.com/Articles/5358102/Measurements-of-Earth-Flatness	camera	2023-04-01 21:00:00
金融	ニュース - 保険市場TIMES	SOMPOひまわり生命、東京都スポーツ推進企業に7年連続認定	https://www.hokende.com/news/blog/entry/2023/04/02/060000		2023-04-02 06:00:00
ニュース	BBC News - Home	Dover ferry queues: Extra overnight English Channel crossings laid on to clear backlog	https://www.bbc.co.uk/news/uk-65151700?at_medium=RSS&at_campaign=KARANGA	additional	2023-04-01 20:32:48
ビジネス	ダイヤモンド・オンライン - 新着記事	農水省「次期次官の大本命」は改革派、農協への“天下り復活”の旧態依然は変わるのか - 儲かる農業 下剋上 ピンチをチャンスに	https://diamond.jp/articles/-/320019	事務次官	2023-04-02 05:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【岐阜】JA赤字危険度ランキング2023、7農協中5農協が赤字転落 - 全国512農協 JA赤字危険度ランキング2023	https://diamond.jp/articles/-/320063		2023-04-02 05:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	中国出資の農業法人が日本の農地「26万平米」取得、外資規制が後手で食料安保に鈍い日本政府 - 儲かる農業 下剋上 ピンチをチャンスに	https://diamond.jp/articles/-/320018	外資規制	2023-04-02 05:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【長野】JA赤字危険度ランキング2023、14農協中6農協が赤字転落 - 全国512農協 JA赤字危険度ランキング2023	https://diamond.jp/articles/-/320062		2023-04-02 05:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【墨田区ベスト10】小学校区「教育環境力」ランキング！【偏差値チャート最新版】 - 東京・小学校区「教育環境力」ランキング2022	https://diamond.jp/articles/-/320500	【墨田区ベスト】小学校区「教育環境力」ランキング【偏差値チャート最新版】東京・小学校区「教育環境力」ランキング子どもにとってよりよい教育環境を目指し、入学前に引っ越して小学校区を選ぶ時代になった。	2023-04-02 05:05:00
ビジネス	東洋経済オンライン	すき家は｢3万円超｣外食も高水準賃上げの衝撃 賃上げに消極的な会社を見切る社員やパートも | 外食 | 東洋経済オンライン	https://toyokeizai.net/articles/-/663338?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2023-04-02 05:30:00