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This repository has been archived by the owner on Sep 7, 2019. It is now read-only.
The REST API sometimes returns very sparse fingerprints -- for very uncommon terms, but also some more frequent terms, e.g. "after". Theses sparsities are ~0.1%, where the target for the API is 1.0%. Some viable solutions to increase the sparsity are:
randomly generate a fingerprint, as we do when the API gives a null response
preserving the few returned bits, fill out the sparsity w/ random generation
preserving the few returned bits, fill out the sparsity by returning the bits in closest (spatial) proximity to the returned bits
The REST API sometimes returns very sparse fingerprints -- for very uncommon terms, but also some more frequent terms, e.g. "after". Theses sparsities are ~0.1%, where the target for the API is 1.0%. Some viable solutions to increase the sparsity are:
@subutai @scottpurdy what do you think?
Note: the previous HTTP API client, pycept, would scrap the returned bits and generate a new, random SDR at the target sparsity.
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