Skip to main content

Entity Search

Project description

# Entity Search

This is an entity search framework based on stationary distributions on random walks with diffusion kernel.

## Development You will need to include the configuration for this repo to your git local configuration.

`` git config –local include.path ../.gitconfig `` This step removes the result section in the json document for each execution in the notebooks.

## Testing In oder to execute the tests, you will need the development dataset. This dataset can be created from the following [repo](https://gitlab.insight-centre.org/ptorres/entity-search-development-data). Once the dataset is created, you need to registered in the configuration file. To simplify this step, just use the incorporated subcommnad config where you can defined the development data folder.

For instance, if the dataset is installed in this directory /data/dev-es, then you need to execute config as follows:

`` python setup.py config –config-datafolder=/data/dev-es ``

This command will create a configuration file in etc/ with the proper setup.

Once the configuration file is created, you can execute the tests, as shown below:

`` python setup.py test ``

Project details


Release history Release notifications

Download files

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

Files for entity-search, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size entity_search-0.0.4-py3-none-any.whl (74.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page