Enable data to be logged to WhyLabs anonymous sessions #195
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flake8 is failing FYI |
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… an example script for logging data via whylabs
…ned flow | fix some edge cases with whylabs client wrapper
Loggers now are stored with the key of the arguments that defined them. This means there will be new loggers created for every new timestamp, dataset name, tags, etc. Not 100% sure if this is what we want for this API so I'll have to check with everyone else. It is definitely better then what's there but it may not be right.
This adds a snapshot of a dataset from kaggle (https://www.kaggle.com/yugagrawal95/sample-media-spends-data) and an example that shows how properly log that data to whylogs for an anonymous session on WhyLabs. This dataset actually has a day date column so its much clearer how the logger is supposed to work in regards to dates.
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Pull Request Test Coverage Report for Build 729964070Warning: This coverage report may be inaccurate.This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
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This change adds a feature to whylogs that allows it to log data to
WhyLabs anonymous sessions. Anonymous sessions allow people to jump into
whylogs with a dataset, log it to dataset profiles, and send it to
WhyLabs for visualization and alerts without requiring a login.
This change updates whylogs to have a
Sessionconcept that isessentially a wrapper around a bunch of loggers. Sessions manage
loggers and logger life cycles, as well as call WhyLabs to create and
sessions and upload the dataset profiles that loggers create.
This also adds an example for anonymous sessions with dates
This adds a snapshot of a dataset from kaggle
(https://www.kaggle.com/yugagrawal95/sample-media-spends-data) and an
example that shows how properly log that data to whylogs for an
anonymous session on WhyLabs. This dataset actually has a day date
column so its much clearer how the logger is supposed to work in regards
to dates.