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+ # PerfSPEC Learning Phase  INSTALLATION
+
+## Python
+
+Due to [TensorFlow requiremens](https://www.tensorflow.org/install/pip) **Python 3.12** is the latest compatible
+
+
+For Linux
+
+I end up by downloading **Python soruce** and compile
+
+For MacOS 
+
+Use [Homebrew](https://brew.sh/)
+```
+brew install python@3.12 python3-pip
+```
+
+> After install Python with **pip* and **virtualenv** <br>
+> Install [TensorFlow requiremens](https://www.tensorflow.org/install/pip)
+
+```
+pip install tensorflow
+```
+
+### Package manager 
+
+Use [uv](https://docs.astral.sh/uv/) 
+
+> An extremely fast Python package and project manager, written in Rust.
+
+MacOS and Linux
+
+```
+sudo curl -LsSf https://astral.sh/uv/install.sh | sh
+```
+
+To add $HOME/.local/bin to your PATH, either restart your shell or run:
+
+    source $HOME/.local/bin/env (sh, bash, zsh)
+    source $HOME/.local/bin/env.fish (fish)
+
+## Notebook tool
+
+Rather than use [Jupyter](https://jupyter.org/) this project use [Marimo](https://marimo.io/) for a lot of good reasons !
+
+#### Marimo 
+
+```
+python -m venv marimo-env
+source marimo-env/bin/activate
+uv pip install marimo
+```
+
+Check with `marimo tutorial intro --no-token`
+
+A web server should be run at `http://localhost:2718` with a token if not use **--no-token** option for a non secure session
+
+[Marimo](https://marimo.io/) configuration is in `$HOME/.config/marimo.toml` 
+
+### PerfSPEC Learning Phase  
+
+1 - `git clone this repository` 
+
+```
+git clone https://repo.jesusperez.pro/jesus/perfspec-learning.git
+cd perfspec-learning
+```
+
+2 - Make structures
+   
+For **data**  use [data_sample.tar.xc](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/data_sample.tar.xz)
+
+```
+tar xvJf data_sample.tar.xz 
+````
+
+For trained models use [models_sample.tar.xz](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/models_sample.tar.xz)
+
+```
+tar xvJf models_sample.tar.xz 
+````
+
+Raw log file [raw-audit-logs.log.xz](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/raw-audit-logs.log.xz) is included in **data** directory
+ 
+
+3 - Run notebook tool like this
+
+Inside `perfspec-learning` path 
+
+```
+cd  learning/python 
+uvx marimo edit   --no-token   --watch
+```
+Connect with a browser to **http://localhost:2718** 
+
+Start with [run_perfspec.py](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/learning/python/run_perfspec.py)
+
+> A red box will appear at top left corner prompting to install required packages for the loaded notebook, in console where localhost:2718 appers listening [uv](https://docs.astral.sh/uv/) will do the magic by installing them using **pip** 
+
+Note each notebook can import some extra packages like [train_perfspec.py](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/learning/python/train_perfspec.py)
+
+In any case some notebook import content from others.
+
+When all notebooks have being loaded it will be posible also to use them as a Python script by run it in a terminal o console like this:
+
+
+```
+python model_perfspec.py -- --help 
+```
+
+There is also an static html mode to be used, more info: [script mode][https://docs.marimo.io/guides/scripts/]
+
+Some Python packages could be not detected and will require manual installation via command-line, simply for example, use: 
+
+```
+uv pip install scikit-learn
+uv pip install prettytable
+```