This is the Windows app named plexe whose latest release can be downloaded as v0.26.2sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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- 7. Unduh Wine dari repositori perangkat lunak distribusi Linux Anda. Setelah terinstal, Anda kemudian dapat mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga dapat mencoba PlayOnLinux, antarmuka mewah di atas Wine yang akan membantu Anda menginstal program dan game Windows populer.
Wine adalah cara untuk menjalankan perangkat lunak Windows di Linux, tetapi tidak memerlukan Windows. Wine adalah lapisan kompatibilitas Windows sumber terbuka yang dapat menjalankan program Windows secara langsung di desktop Linux apa pun. Pada dasarnya, Wine mencoba untuk mengimplementasikan kembali Windows dari awal sehingga dapat menjalankan semua aplikasi Windows tersebut tanpa benar-benar membutuhkan Windows.
Tangkapan layar
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kompleks
DESKRIPSI
plexe lets you build machine-learning systems from natural-language prompts, turning plain English goals into working pipelines. You describe what you want—a predictor, a classifier, a forecaster—and the tool plans data ingestion, feature preparation, model training, and evaluation automatically. Under the hood an agent executes the plan step by step, surfacing intermediate results and artifacts so you can inspect or override choices. It aims to be production-minded: models can be exported, versioned, and deployed, with reports to explain performance and limitations. The project supports both a Python library and a managed cloud option, meeting teams wherever they prefer to run workloads. The overall goal is to compress the path from idea to usable model while keeping humans in the loop for review and adjustment.
Fitur
- Natural-language prompts that generate full ML pipelines end to end
- Agentic execution that handles EDA, feature building, training, and evaluation
- Human-reviewable artifacts, reports, and diffs at each step
- Export, versioning, and deployment paths for production readiness
- Python package for local use plus an optional managed cloud service
- Extensible components so teams can plug in custom data sources or models
Bahasa Pemrograman
Ular sanca
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/plexe.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
