Anmol Srivastava
Anmol Srivastava
Waiting on #141
@951378644 let me know if you get alerted to this comment. Sometimes we use this webpage for tracking the issue and communicating with others with questions/answers/design discussions. We might brainstorm...
This is essentially ready to be merged in -- citations are added and the code is stable enough. This also now closes #153 #154 and can enable proper integration into...
Now also closes #164
Worth thinking about returning to the pipeline idea: ```python class NLPMethod(): def run(): self = pipe(self, *self.operators) n = NLPMethod(operators=[sklearn.some_preprocessor, transformers.some_transformer, some_encoder, some_evaluator]) ```
Also worth exploring multi-threading / HPC / GPU compatibility here. If adopting a pipeline approach, we may have several operators applied to the same data at a given stage, which...
It also looks like the GitHub checks are failing because of tests not passing / non-100% coverage and linting/security steps missing.
```python class NewInjector(): def __init__(self, common_params): super().__init__() def __call__(self, **kwargs): # this erases the documentation of the specific arguments, though ```