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Update README.md daal4py scikit-learn XGBoost samples #2302
Update README.md daal4py scikit-learn XGBoost samples #2302
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Updated offline installer instructions
Signed-off-by: AvijitBag07 <AvijitBag07@intel.com> Co-authored-by: AvijitBag07 <AvijitBag07@intel.com>
…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>
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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
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# `Intel® Modin* Vs. Pandas Performance` Sample | |||
# Modin Vs. Pandas Performance Sample |
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I've tried to address all comments, please let me know if I missed anything |
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Modin samples - need to change base
offline conda env to modin
AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas/README.md
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…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>
…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>
…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>
…E.md Co-authored-by: Marina Zubova <122559084+Marina-Zubova@users.noreply.github.com>
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DX reviewed, approved 5 sample READMEs: Scikit-learn GS, XGBoost GS, Daal4py GS, Modin GS and Modin vs Pandas. Thank you!
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Need to fix some brand names.
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You will need to download and install the following toolkits, tools, and components to use the sample. | ||
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**1. Get Intel® AI Tools** | ||
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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. |
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<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. |
The `TensorFlow* Getting Started` sample demonstrates how to train a TensorFlow* model and run inference on Intel® hardware. | ||
| Property | Description | ||
|:--- |:--- | ||
| Category | Get Start Sample |
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| Category | Get Start Sample | |
| Category | Getting Started Sample |
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## Related Samples | ||
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* [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) |
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* [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) |
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# `Intel® Extension for PyTorch (IPEX) Getting Started` Sample | |||
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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. |
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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. | |
|:--- |:--- | ||
| What you will learn | How to get started with Intel® Extension for PyTorch (IPEX) | ||
| Category | Get Start Sample |
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| Category | Get Start Sample | |
| Category | Getting Started Sample | |
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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. | ||
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#### Access using Intel DevCloud |
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#### Access using Intel DevCloud | |
#### Access using Intel® Tiber™ Developer Cloud |
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#### Access using Intel DevCloud | ||
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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: |
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Change all references to Intel DevCloud to Intel® Tiber™ Developer Cloud.
| Optimized for | Description | ||
|:--- |:--- | ||
| OS | Linux* Ubuntu 18.04, Windows* 10 | ||
| Hardware | Skylake with GEN9 or newer |
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| Hardware | Skylake with GEN9 or newer | |
| Hardware | Intel® microarchitecture code name Skylake with GEN9 or newer |
| Optimized for | Description | ||
|:--- |:--- | ||
| OS | Linux* Ubuntu 22.04 | ||
| Software | Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® Developer Cloud (IDC) |
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| 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 |
| Software | Intel® Rendering Toolkit (Render Kit), Jupyter Notebooks, Intel® Developer Cloud (IDC) | ||
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## 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. |
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Change all references from Intel Developer Cloud to Intel® Tiber™ Developer Cloud
daal4py, xgboost and Modin samples updated