Update README.md daal4py scikit-learn XGBoost samples #2302

raistefintel · 2024-04-25T09:27:46Z

daal4py, xgboost and Modin samples updated

Updated offline installer instructions

…es (oneapi-src#2200)

Signed-off-by: AvijitBag07 <AvijitBag07@intel.com> Co-authored-by: AvijitBag07 <AvijitBag07@intel.com>

…flow.ipynb

…ows (oneapi-src#2225) Document compiler bug exposed by use_library tutorial on Windows.

* Update README.md * Update README.md * Update README.md --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com>

…-src#2230) Co-authored-by: Urszula Guminska <urszula.zofia.guminska@intel.com>

Marina-Zubova

XGBoost, scikit-learn, daal4py and Modin GS samples looks good, only minor changes needed. We also need to apply the template to Modin VS Pandas sample

AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted/README.md

AI-and-Analytics/Getting-Started-Samples/IntelPython_daal4py_GettingStarted/README.md

AI-and-Analytics/Getting-Started-Samples/IntelPython_XGBoost_GettingStarted/README.md

AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted/README.md

AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas/README.md

@@ -1,16 +1,16 @@
-# `Intel® Modin* Vs. Pandas Performance` Sample
+# Modin Vs. Pandas Performance Sample


raistefintel · 2024-07-12T16:12:21Z

I've tried to address all comments, please let me know if I missed anything

Marina-Zubova

Modin samples - need to change base offline conda env to modin

AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas/README.md

AI-and-Analytics/Getting-Started-Samples/Modin_GettingStarted/README.md

AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas/README.md

…ettingStarted/README.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

…E.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

…README.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

…E.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

…README.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

…E.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>

Marina-Zubova

DX reviewed, approved 5 sample READMEs: Scikit-learn GS, XGBoost GS, Daal4py GS, Modin GS and Modin vs Pandas. Thank you!

bdmoore1

Need to fix some brand names.

bdmoore1 · 2024-07-16T20:22:16Z

AI-and-Analytics/Getting-Started-Samples/INC-Quantization-Sample-for-PyTorch/README.MD


 You will need to download and install the following toolkits, tools, and components to use the sample.

 **1. Get Intel® AI Tools**

 Required AI Tools: **Intel® Neural Compressor, Intel® Extension of PyTorch***. 
-<br>Select and install needed AI Tools via [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.
+<br>If you have not already, select and install these Tools via via [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.


Suggested change

<br>If you have not already, select and install these Tools via via [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.

<br>If you have not already, select and install these Tools via the [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.

bdmoore1 · 2024-07-16T20:29:49Z

AI-and-Analytics/Getting-Started-Samples/IntelTensorFlow_GettingStarted/README.md

+The `TensorFlow* Getting Started` sample demonstrates how to train a TensorFlow* model and run inference on Intel® hardware. 
+| Property            | Description 
+|:---                 |:---
+| Category            | Get Start Sample 


Suggested change

| Category | Get Start Sample

| Category | Getting Started Sample

bdmoore1 · 2024-07-16T20:31:20Z

AI-and-Analytics/Getting-Started-Samples/IntelTensorFlow_GettingStarted/README.md

+
+## Related Samples
+
+* [Intel Extension Fot TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)


Suggested change

* [Intel Extension Fot TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)

* [Intel Extension for TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)

bdmoore1 · 2024-07-16T20:32:56Z

AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_PyTorch_GettingStarted/README.md

@@ -1,33 +1,13 @@
 # `Intel® Extension for PyTorch (IPEX) Getting Started` Sample

-Intel® Extension for PyTorch (IPEX) extends PyTorch* with optimizations for extra performance boost on Intel hardware. Most of the optimizations will be included in stock PyTorch* releases eventually, and the intention of the extension is to deliver up-to-date features and optimizations for PyTorch* on Intel hardware, examples include AVX-512 Vector Neural Network Instructions (AVX512 VNNI) and Intel® Advanced Matrix Extensions (Intel® AMX).
+Intel® Extension for PyTorch (IPEX) extends PyTorch* with optimizations for extra performance boost on Intel hardware. 


Suggested change

Intel® Extension for PyTorch (IPEX) extends PyTorch* with optimizations for extra performance boost on Intel hardware.

Intel® Extension for PyTorch extends PyTorch* with optimizations for extra performance boost on Intel hardware.

bdmoore1 · 2024-07-16T20:33:21Z

AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_PyTorch_GettingStarted/README.md

 |:---                  |:---
-| What you will learn  | How to get started with Intel® Extension for PyTorch (IPEX)
+| Category             | Get Start Sample


Suggested change

| Category | Get Start Sample

| Category | Getting Started Sample

bdmoore1 · 2024-07-16T21:12:16Z

DirectProgramming/C++SYCL/Jupyter/C++-to-sycl-migration/README.md

+
+The training content can be accessed locally on the computer after installing necessary tools, or you can directly access using Intel DevCloud without any installation necessary.
+
+#### Access using Intel DevCloud


Suggested change

#### Access using Intel DevCloud

#### Access using Intel® Tiber™ Developer Cloud

bdmoore1 · 2024-07-16T21:13:29Z

DirectProgramming/C++SYCL/Jupyter/C++-to-sycl-migration/README.md

+
+#### Access using Intel DevCloud
+
+The Jupyter notebooks are tested and can be run on Intel DevCloud without any installation necessary, below are the steps to access these Jupyter notebooks on Intel DevCloud:


Change all references to Intel DevCloud to Intel® Tiber™ Developer Cloud.

bdmoore1 · 2024-07-16T21:14:54Z

RenderingToolkit/IRTK_Learning_Path/0_Introduction_to_Jupyter/Readme.md

+| Optimized for                       | Description
+|:---                               |:---
+| OS                                | Linux* Ubuntu 18.04, Windows* 10
+| Hardware                          | Skylake with GEN9 or newer


Suggested change

| Hardware | Skylake with GEN9 or newer

| Hardware | Intel® microarchitecture code name Skylake with GEN9 or newer

bdmoore1 · 2024-07-16T21:16:07Z

RenderingToolkit/IRTK_Learning_Path/README.md

+| Optimized for                     | Description
+|:---                               |:---
+| OS                                | Linux* Ubuntu 22.04
+| Software                          | Intel&reg; Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel&reg; Developer Cloud (IDC)


Suggested change

| Software | Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® Developer Cloud (IDC)

| Software | Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® microarchitecture code name Skylake

bdmoore1 · 2024-07-16T21:17:05Z

RenderingToolkit/IRTK_Learning_Path/README.md

+| Software                          | Intel&reg; Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel&reg; Developer Cloud (IDC)
+
+## Description
+This repo contains Jupyter Notebook Trainings for Render Kit that **has been designed to be used on the Intel Developer Cloud** for hands-on workshops.


Change all references from Intel Developer Cloud to Intel® Tiber™ Developer Cloud

ishaghosh27 and others added 30 commits March 4, 2024 14:16

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* Update README.md * Update README.md * Update README.md --------- Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com>

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Update README.md daal4py scikit-learn XGBoost samples #2302

Update README.md daal4py scikit-learn XGBoost samples #2302

raistefintel commented Apr 25, 2024 •

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		@@ -1,16 +1,16 @@
		# `Intel® Modin* Vs. Pandas Performance` Sample
		# Modin Vs. Pandas Performance Sample

	<br>If you have not already, select and install these Tools via via [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.
	<br>If you have not already, select and install these Tools via the [AI Tools Selector](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-tools-selector.html). AI and Analytics samples are validated on AI Tools Offline Installer. It is recommended to select Offline Installer option in AI Tools Selector.

	\| Category \| Get Start Sample
	\| Category \| Getting Started Sample


		## Related Samples

		* [Intel Extension Fot TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)

	* [Intel Extension Fot TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)
	* [Intel Extension for TensorFlow Getting Started Sample](https://github.com/oneapi-src/oneAPI-samples/blob/development/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_TensorFlow_GettingStarted/README.md)

	Intel® Extension for PyTorch (IPEX) extends PyTorch* with optimizations for extra performance boost on Intel hardware.
	Intel® Extension for PyTorch extends PyTorch* with optimizations for extra performance boost on Intel hardware.


		The training content can be accessed locally on the computer after installing necessary tools, or you can directly access using Intel DevCloud without any installation necessary.

		#### Access using Intel DevCloud

	#### Access using Intel DevCloud
	#### Access using Intel® Tiber™ Developer Cloud


		#### Access using Intel DevCloud

		The Jupyter notebooks are tested and can be run on Intel DevCloud without any installation necessary, below are the steps to access these Jupyter notebooks on Intel DevCloud:

	\| Hardware \| Skylake with GEN9 or newer
	\| Hardware \| Intel® microarchitecture code name Skylake with GEN9 or newer

	\| Software \| Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® Developer Cloud (IDC)
	\| Software \| Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® microarchitecture code name Skylake

Update README.md daal4py scikit-learn XGBoost samples #2302

Update README.md daal4py scikit-learn XGBoost samples #2302

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raistefintel commented Apr 25, 2024 •

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