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README.md

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## Installation
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Use the following command to install PyKT:
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Create conda envirment.
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```
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conda create --name=pykt python=3.7.5
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source activate pykt
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```
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```
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pip install -U pykt-toolkit -i https://pypi.python.org/simple
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```

docs/source/index.rst

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PyKT is a python library build upon PyTorch to train deep learning based knowledge tracing models. The library consists of a standardized set of integrated data preprocessing procedures on 7 popular datasets across different domains, 5 detailed prediction scenarios, 10 frequently compared DLKT approaches for transparent and extensive experiments. Let's `Get Started! <./quick_start.html>`_ , `Get Started! (Chinese) <./quick_start_cn.html>`_
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Installation
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------------
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To use pykt, first install it using pip:
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.. code-block:: console
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$ pip install pykt-toolkit
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.. toctree::
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:maxdepth: 2
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:caption: Home
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Installation <installation>
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Official Website <https://pykt-team.github.io/>
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Quick Start <quick_start>
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Quick Start (cn) <quick_start_cn>

docs/source/installation.md

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## Installation
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Use the following command to install PyKT:
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Create conda environment.
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```
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conda create --name=pykt python=3.7.5
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source activate pykt
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```
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```
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pip install -U pykt-toolkit
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```

requirements.txt

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setup.py

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setup(
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name="pykt-toolkit",
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version="0.0.35-alpha",
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version="0.0.36",
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author="pykt-team",
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author_email="pykt.team@gmail.com",
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description="pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models",
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packages=find_packages(),
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python_requires=">=3.5",
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include_package_data=True,
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install_requires=['pandas'],
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)
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install_requires=['numpy==1.17.2','pandas==1.1.5','scikit-learn==0.21.3','torch==1.7.0','wandb==0.12.9'],
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)

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