Shreya Shankar
Shreya Shankar
 This comes up when installing via `pip install nbsafety` in a conda environment with python 3.9, and then starting jupyterlab
Tasks: - [ ] GPT class - [ ] Example class - [ ] UIConfig class
Users may want to create components like: ```python class Preprocessing(Component): def __init__(self, ...): super().__init__(...) def beforeRun(self, **kwargs): # how to give users access to history? # self.history.inputs["df"][-1] ?? # historical_inputs...
@Boyuan-Deng is getting this warning when running examples client-side: ``` util.warn( /home/boyuan/anaconda3/envs/py39/lib/python3.9/site-packages/sqlalchemy/orm/relationships.py:3435: SAWarning: relationship 'Label.labels' will copy column io_pointers.value to column labels_io_pointers.io_pointer_value, which conflicts with relationship(s): 'IOPointer.io_pointers' (copies io_pointers.value to...
Related to #241 We currently have 2 tables for outputs and feedback. We also need to create materialized views of the joined tables, one for each metric with its corresponding...
We want to monitor ML pipelines to see when things might be going wrong. We need a way to encode "SLAs" into mltrace, then monitor outputs and metrics to make...
We want to track information flow throughout a pipeline at a user-defined label granularity. The user will specify labels on some inputs (i.e., the most upstream input), and we must...
In test methods, we want users to be able to compute distance metrics between current and historical data.
Right now, if users log input and output vars that resolve as non string types, the behavior of adding to the db is undefined.
Currently, we can only auto_log dataframes and variables that have "data" or "model" in the name. We also want to support: - [ ] jsons / dictionaries - [ ]...