Skip to main content

ExplainaBoard Client

Project description

ExplainaBoard Client

This is a command line and API client that makes it easy for you to evaluate systems using ExplainaBoard.

Preparation

Install: First, install the client.

pip install explainaboard_client

Acquiring a Login and API Key: Create an account at the ExplainaBoard site and log in. Once you are logged in, you can click on the upper-right corner of the screen, and it will display your email and API key, which you can copy-paste.

You can save these into environmental variables for convenient use in the commands below:

export EB_USERNAME="[your username]"
export EB_API_KEY="[your API key]"

Use in Python

The most common usage of this client will probably be to evaluate systems on the ExplainaBoard server. Below is an example of how you can do this in Python.

import os
import explainaboard_client

# Set up your environment
explainaboard_client.username = os.environ['EB_USERNAME']
explainaboard_client.api_key = os.environ['EB_API_KEY']
client = explainaboard_client.ExplainaboardClient()

# Do the evaluation
evaluation_result = client.evaluate_system_file(
    task='text-classification',
    system_name='text-classification-test',
    system_output_file='example/data/sst2-lstm-output.txt',
    system_output_file_type='text',
    dataset='sst2',
    split='test',
    source_language='en',
)

For more details on precisely how to specify all the variables, as well as how to do other things such as search for and delete systems, see the documentation of the Python API.

Use from the Command Line

You can also evaluate systems from the command line like this.

python -m explainaboard_client.cli.evaluate_system \
  --task text-classification \
  --system-name text-classification-test \
  --system-output-file example/data/sst2-lstm-output.txt \
  --system-output-file-type text \
  --dataset sst2 \
  --split test \
  --source-language 'en'

For more details, see the command line documentation.

Having Trouble?

Please open an issue on the issues page and we'll be happy to help!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

explainaboard_client-0.1.4.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

explainaboard_client-0.1.4-py2.py3-none-any.whl (26.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file explainaboard_client-0.1.4.tar.gz.

File metadata

  • Download URL: explainaboard_client-0.1.4.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for explainaboard_client-0.1.4.tar.gz
Algorithm Hash digest
SHA256 02e2c2fa68a3591937024660d1500bf7ea0f8774b5e910705852da8bedf931b4
MD5 8c91ed17a4b19d1283d1785edea61962
BLAKE2b-256 3df42902da1440f89c09b68279eee221a59baa6bd7523a0bcbf66c295f41ed69

See more details on using hashes here.

File details

Details for the file explainaboard_client-0.1.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for explainaboard_client-0.1.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1b10476252a2eefe622971156e54b48e00381e27f20e850fae88b80ccdfea880
MD5 6c86d38306b50ebeb59a98d8b3e6c7a5
BLAKE2b-256 f7d4ec248d16b7554e772e086ecb0e5b60a93228ca3180401bfd3ca83040e301

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page