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@@ -16,6 +16,25 @@ While using conda, you dont even need to have python 3.11 installed from before.
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**Windows and Linux*: `conda create -n .\virtual_environment\alg4 python=3.11`
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When creating with conda, feel free to use pip therafter to install other packages - this is necessary as causal-learn and dowhy are not available on conda.
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[!NOTE]
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It is recommended that you comment out the following packages first in your requirements.txt:
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1. tensorflow:
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- tensorboard==2.15.1
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- tensorboard-data-server==0.7.2
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- tensorflow==2.15.0
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- tensorflow-estimator==2.15.0
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- tensorflow-intel==2.15.0
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- tensorflow-io-gcs-filesystem==0.31.0
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2. pytorch:
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- torch==2.2.0+cu121
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- torchaudio==2.2.0+cu121
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- torchmetrics==1.3.0.post0
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- torchvision==0.17.0+cu121
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Thereafter install tensorflow simply by using: `pip install tensorflow`
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Install pytorch using the official site for [current version](https://pytorch.org/get-started/locally/) or [older versions](https://pytorch.org/get-started/previous-versions/).
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## How to use:
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To run the baselines for the synthetic dataset, run the following command:
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