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https://issues.apache.org/jira/browse/MAHOUT-1416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Manoj Awasthi updated MAHOUT-1416:
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Description:
There is a use case I encounter in which a random forest model is passed to
remote server over a REST API and is used for scoring the incoming requests in
there.
In such a scenario it is highly inefficient to write the byte buffer received
at the remote server on the filesystem and then use Mahout APIs to load the
forest.
We should be able to load the forest from the byte buffer received. This is
useful in non-map-reduce usecases of classification like that mentioned above.
was:
There is a use case I encounter in which a random forest model is passed to
remote server over a REST API and is used for scoring the incoming requests in
there.
In such a scenario it is highly inefficient to write the byte buffer received
at the remote server on the filesystem and then use Mahout APIs to load the
forest.
We should be able to load the forest from the byte buffer received.
> Implement an interface to load a forest from an in-memory byte buffer
> ---------------------------------------------------------------------
>
> Key: MAHOUT-1416
> URL: https://issues.apache.org/jira/browse/MAHOUT-1416
> Project: Mahout
> Issue Type: Improvement
> Reporter: Manoj Awasthi
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> There is a use case I encounter in which a random forest model is passed to
> remote server over a REST API and is used for scoring the incoming requests
> in there.
> In such a scenario it is highly inefficient to write the byte buffer received
> at the remote server on the filesystem and then use Mahout APIs to load the
> forest.
> We should be able to load the forest from the byte buffer received. This is
> useful in non-map-reduce usecases of classification like that mentioned above.
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