Minor update in testfile, updated README.

README.md

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 Python implementation of the 2L-VKOGA algorithm, which uses a kernel optimization (two layered kernel) before running VKOGA with the modified kernel.
 
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+## Installation
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+pip install git+https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga@v0.1.0
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+## Usage
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+Have a look into the [demo file](https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga/-/blob/main/example_files/01_testfile.py).
+
 ## How to cite:
 If you use this code in your work for scalar-valued output data, please cite the paper
 

example_files/01_testfile.py

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-# Result: Since the training set is quite small, we can clearly observe overfitting via the
-# validation set tracking
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