FeatureUnhasher does not support an input_type of dict

[manyu90]

The current implementation only supports input types of String. It will be nice to have a FeatureUnhasher which accepts Featurehashers of input type dict

[kmike]

As I recall, we added FeatureUnhasher mainly to support HashingVectorizer, so we started with 'string'.

On a first sight, adding input_type='dict' support it a matter of removing the exception, changing the way _term_counts attribute is computed, and adding some tests.

I don't have immediate plans to implement this feature, but it looks like a good problem for new contributors, so pull requests are welcome!

[mohdkashif93]

Is it okay if I work on this issue, I mean if nobody else is working on this?

[coderop2]

@kmike as i was going through tests there are no tests for the function featureunhasher..?

[kmike]

@coderop2 right; adding them can be a good first step. It is tested only indirectly, by testing InvertableHashingVectorizer which uses FeatureUnhasher internally.

[coderop2]

So first we can include the functionality for input_type dict and then add tests for both together

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On Wed, Mar 6, 2019, 1:10 AM Mikhail Korobov ***@***.***> wrote: @coderop2 <https://github.com/coderop2> right; adding them can be a good first step. It is tested only indirectly, by testing InvertableHashingVectorizer which uses FeatureUnhasher internally. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#236 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AbHGbLeoo6utFnPNkeR5rXiKbIIwruV0ks5vTsgSgaJpZM4OxRnf> .

[kmike]

@coderop2 yes, this works. Alternatively, one can start by adding tests for existing FeatureHasher, to get their feet wet; this would be a smaller change which can be merged separately.