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]( 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 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 test ``

Project details

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

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page