[ENH]: Add read() method for storage-like objects #236
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Delete branch "feat/storage-read"
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This PR adds a new
read()method forstorage-likeobjects. As of now, onlyHDF5FeatureStorageis implemented and allows to retrieve a feature as it is stored. This will allow users to do post-processing on the stored feature.gh-pagesat 2023-06-28 13:14 UTCCodecov Report
100.00% <ø> (ø)93.57% <100.00%> (-0.05%)Flags with carried forward coverage won't be shown. Click here to find out more.
82.75% <100.00%> (+0.94%)93.30% <100.00%> (+0.07%)96.40% <100.00%> (+0.04%)... and 3 files with indirect coverage changes
@ -235,6 +235,38 @@ class SQLiteFeatureStorage(PandasBaseFeatureStorage):out[md5][k] = json.loads(v)Can you rewrite this message so that users are hinted to contact the junifer devs if they need this feature? Something like that it is with the following: "This feature is not currently planned to be implemented in the near future. If you need such functionality, contact junifer developers (LINK TO HOW TO CONTACT)"
@ -235,6 +235,38 @@ class SQLiteFeatureStorage(PandasBaseFeatureStorage):out[md5][k] = json.loads(v)Maybe ask them to open an issue?
@ -235,6 +235,38 @@ class SQLiteFeatureStorage(PandasBaseFeatureStorage):out[md5][k] = json.loads(v)we have a link on the doc that can be used for that.
@ -235,6 +235,38 @@ class SQLiteFeatureStorage(PandasBaseFeatureStorage):out[md5][k] = json.loads(v)Are you referring to the Matrix channel link?
@ -235,6 +235,38 @@ class SQLiteFeatureStorage(PandasBaseFeatureStorage):out[md5][k] = json.loads(v)https://juaml.github.io/junifer/main/help.html
docs are failing
That's coz of julearn example and it's failing to import from sklearn, my guess would be because of a new version of sklearn. So either we don't run the example for now or pin the version in julearn?