v0.0.36

update

README.md

@@ -10,6 +10,14 @@ PyKT is a python library build upon PyTorch to train deep learning based knowled
 ## Installation
 Use the following command to install PyKT:
 
+Create conda envirment.
+
+```
+conda create --name=pykt python=3.7.5
+source activate pykt
+```
+
+
 ```
 pip install -U pykt-toolkit -i  https://pypi.python.org/simple 
 ```

docs/source/index.rst

@@ -3,20 +3,11 @@ Welcome to PyKT's documentation!
 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>`_ 
 
 
-Installation
-------------
-
-To use pykt, first install it using pip:
-
-.. code-block:: console
-
-   $ pip install pykt-toolkit
-
-
 .. toctree::
    :maxdepth: 2
    :caption: Home
 
+   Installation <installation>
    Official Website <https://pykt-team.github.io/>
    Quick Start <quick_start>
    Quick Start (cn) <quick_start_cn>

docs/source/installation.md

@@ -0,0 +1,14 @@
+## Installation
+Use the following command to install PyKT:
+
+Create conda environment.
+
+```
+conda create --name=pykt python=3.7.5
+source activate pykt
+```
+
+
+```
+pip install -U pykt-toolkit
+```

setup.py

@@ -5,7 +5,7 @@
 
 setup(
     name="pykt-toolkit",
-    version="0.0.35-alpha",
+    version="0.0.36",
     author="pykt-team",
     author_email="[email protected]",
     description="pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models",
@@ -23,5 +23,5 @@
     packages=find_packages(),
     python_requires=">=3.5",
     include_package_data=True,
-    install_requires=['pandas'],
-)
+    install_requires=['numpy==1.17.2','pandas==1.1.5','scikit-learn==0.21.3','torch==1.7.0','wandb==0.12.9'],
+)