pyheartex
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Heartex Python SDK - Connect your own models to Heartex Data Labeling
With the following dict as the value of the `train_output` parameter to the `SklearnTextClassifier.load` method in `pyheartex/htx/adapters/sklearn.py`: `{'model': '/Users/wollivier/.heartex/models/1.my_super_model/1582135897/model.joblib', 'idx_choice_map': '/Users/wollivier/.heartex/models/1.my_super_model/1582135897/idx_choice_map.json'}` the sklearn adapter is not able to load the...
When using PyHeartex (master, bbfbea40ae0170fa1baf5771770b8c4a70d5142b), running a very basic example (similar to what is in examples/quickstart.py) ``` pipeline = make_pipeline(TfidfVectorizer(), SVC()) # Start serving this model serve(pipeline) ``` I get...
https://github.com/heartexlabs/pyheartex/blob/6420d28d1ba9a3cd63c9f077443dba1cf5abd396/htx/model_manager.py#L151-L156 --- ###### This issue was generated by [todo](https://todo.jasonet.co) based on a `TODO` comment in 6420d28d1ba9a3cd63c9f077443dba1cf5abd396. It's been assigned to @undefined because they committed the code.
It means that next steps are not encountered as valid train period
- check if requested model version is the same as loaded - warning or lazy load if not matched
API for removing everything related to the project