Note
Click here to download the full example code
Export Suite Output to a HTML Report#
In this guide, we will demonstrate how to export a suite’s output as an HTML report. This enables easily sharing the results easier and also using deepchecks outside of the notebook environment.
Structure:
Load Data#
Let’s fetch the iris train and test datasets
from deepchecks.tabular.datasets.classification import iris
train_dataset, test_dataset = iris.load_data()
Run Suite#
from deepchecks.tabular.suites import full_suite
suite = full_suite()
suite_result = suite.run(train_dataset=train_dataset, test_dataset=test_dataset)
Full Suite:
| | 0/36 [Time: 00:00]
Full Suite:
|##################### | 21/36 [Time: 00:00, Check=Feature Label Correlation Change]
Save Suite Result to an HTML Report#
Exporting the suite’s output to an HTML file is possible using the save_as_html
function. This function expects a file-like object, whether it’s a file name or
the full path to the destination folder.
suite_result.save_as_html('my_suite.html')
# or
suite_result.save_as_html() # will save the result in output.html
'output.html'
# Removing outputs created. this cell should be hidden in nbpshinx using "nbsphinx: hidden" in the metadata
import os
os.remove('output.html')
os.remove('my_suite.html')
Working with in-memory buffers
The suite output can also be written into a file buffers. This can be done by
setting the file argument with a StringIO
or BytesIO
buffer object.
import io
html_out = io.StringIO()
suite_result.save_as_html(file=html_out)
View Suite Output#
The suite’s output can still be viewed within the notebook
suite_result
Total running time of the script: ( 0 minutes 4.968 seconds)