Search Results for "c-support.vim"

...It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples.

Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed...

...The Tutorials will provide a great overview and links to each topic in the API Reference for more detailed reading. Complete theme and style control. GPU-based rendering and efficient C/C++ code.

...Please, go to our youTube channel to see many tutorials about this new release. Don't waste your time trying things and clicking everywhere. Wait for our tutorials, install AWA-Core on a single PC or in a complete C/S architecture (Servers provided) and run powerfull projects. Check youTube channel @ImprovingFactories for tutorials (they're all coming). Stay tuned. And don't forget. AWA-Core is a cashback software. You can install it and earn money with. More than an Historian... AWA-Core (Another Way of Automation) is a complete suite that allows engineers, PLC programmers and factory designers to create huge projects for retrieving data, creating graphics, automatic scripts, exports and data links.

MCPower-GUI is a desktop application that provides a graphical interface for the MCPower Monte Carlo power analysis library. It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario...