KST is an open source software library with Python implementations of basic Knowledge Space Theory algorithms.
You can either clone the project or download a distribution file and run command:
pip install /path-to-downloaded-file/learning_spaces-0.2.0-py3-none-any.whl
KST requires installed Python 3.9. It is recommended to use the library in a separate virtual environment. A brief and practical introduction to virtual environments can be found on the following link. First, a virtual environment should be created.
mkvirtualenv kst
After creating a virtual environment, you should install the requirements.
pip install -r requirements.txt
After that, the library can be used.
>>> import pandas as pd
>>> from learning_spaces.kst import iita
>>> data_frame = pd.DataFrame({'a': [1, 0, 1], 'b': [0, 1, 0], 'c': [0, 1, 1]})
>>> response = iita(data_frame, v=1)
>>> print(response)
{'diff': array([ 0.18518519, 0.16666667, 0.21296296]), 'implications': [(0, 1), (0, 2), (2, 0), (2, 1)], 'error.rate': 0.5, 'selection.set.index': 1, 'v': 1}KST can be run in a browser environment, without need for Python server. We use Pyodide which brings the Python runtime to the browser via WebAssembly.
Full Example (open console to see the result):
<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/pyodide/v0.18.1/full/pyodide.js"></script>
</head>
<body>
<script>
let pyodide;
async function init() {
pyodide = await loadPyodide({ indexURL: "https://cdn.jsdelivr.net/pyodide/v0.18.1/full/" });
await pyodide.loadPackage('micropip');
await pyodide.runPythonAsync(`
from micropip import install
await install('https://raw.githubusercontent.com/milansegedinac/kst/master/dist/learning_spaces-0.2.0-py3-none-any.whl')
`);
}
async function run() {
await pyodide.runPython(`
import pandas as pd
from learning_spaces.kst import iita
data_frame = pd.DataFrame({'a': [1, 0, 1], 'b': [0, 1, 0], 'c': [0, 1, 1]})
response = iita(data_frame, v=1)
`);
const response = pyodide.globals.get('response').toJs()
console.log(response)
}
(async () => {
await init()
await run()
})();
</script>
</body>
</html>