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@@ -65,6 +65,32 @@ C:\PrismRCL\PrismRCL.exe naivebayes rclticks=10 ^
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  - **log:** Directory for storing log files.
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  - **stopwhendone:** Automatically terminates the session after training completion.
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  ### License
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  This dataset is licensed under the MIT License.
 
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  - **log:** Directory for storing log files.
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  - **stopwhendone:** Automatically terminates the session after training completion.
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+ Here's an "Auto Optimize" section crafted specifically for inclusion in all of your PrismRCL dataset README files. You can universally use this across imaging, textual (including LLM), and tabular data types:
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+ ---
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+ ### Auto Optimize
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+ PrismRCL includes an **Auto Optimize** feature designed to automatically identify optimal training parameters for your specific dataset, significantly streamlining the model training process. This feature removes the need for manual parameter tuning by systematically evaluating your data to determine the most effective settings for evaluation method, `rclticks`, `boxdown`, and other relevant parameters.
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+ **How to Use Auto Optimize:**
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+ Run the following command with your dataset:
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+ ```cmd
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+ C:\PrismRCL\PrismRCL.exe auto-optimize data=C:\path\to\your_dataset\train log=C:\path\to\log_files
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+ ```
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+ **Explanation:**
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+ - **auto-optimize:** Initiates PrismRCL’s parameter optimization process.
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+ - **data:** Path to your training dataset.
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+ - **log:** Specifies the directory where PrismRCL will save a detailed summary file with optimal parameters determined by the optimization process.
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+ After execution, PrismRCL generates an optimization summary file in your specified log directory (`_optimize_summary_mm_dd_yy_hh_mm_ss.txt`). This file will list the optimal parameters, which you should then apply in your training commands to achieve optimal model performance.
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+ You can seamlessly incorporate this section into each README file across your datasets. Let me know if you need further refinements!
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  ### License
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  This dataset is licensed under the MIT License.