MLBazaar / MLBazaar/MLPrimitives

Allow build layer to recognize layers imported from tensorflow keras

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Dominant language
Python
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Description

  • MLPrimitives version: 0.3.3.dev0
  • Python version: 3.7.0
  • Operating System: macOS
Description

Allow ml.primitives.adapters.build_layer to also recognize layers imported from tensorflow.keras.

What I Did

Current Version:

if issubclass(layer_class, keras.layers.wrappers.Wrapper):

Suggested Changes:

if issubclass(layer_class, tf.keras.layers.Wrapper) or issubclass(layer_class, keras.layers.wrappers.Wrapper):

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start in ml.primitives.adapters.build_layer and inspect the existing keras wrapper recognition shown in the issue. Confirm that layers imported from tensorflow.keras are recognized while existing keras layers remain supported, then add or update focused coverage if the repository provides tests for this adapter.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
45/100

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