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alteryx / evalml

EvalML is an AutoML library written in python.
https://evalml.alteryx.com
BSD 3-Clause "New" or "Revised" License
781 stars 87 forks source link

Changed target name/series ID divider and added ability to return series ID column with predictions #4357

Closed christopherbunn closed 1 year ago

christopherbunn commented 1 year ago

Resolves #4359

codecov[bot] commented 1 year ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (8ffa04f) 99.7% compared to head (36185ae) 99.7%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #4357 +/- ## ======================================= + Coverage 99.7% 99.7% +0.1% ======================================= Files 357 357 Lines 39869 39910 +41 ======================================= + Hits 39749 39790 +41 Misses 120 120 ``` | [Files](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx) | Coverage Δ | | |---|---|---| | [...valml/pipelines/multiseries\_regression\_pipeline.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3BpcGVsaW5lcy9tdWx0aXNlcmllc19yZWdyZXNzaW9uX3BpcGVsaW5lLnB5) | `100.0% <100.0%> (ø)` | | | [...valml/pipelines/time\_series\_regression\_pipeline.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3BpcGVsaW5lcy90aW1lX3Nlcmllc19yZWdyZXNzaW9uX3BpcGVsaW5lLnB5) | `100.0% <100.0%> (ø)` | | | [evalml/pipelines/utils.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3BpcGVsaW5lcy91dGlscy5weQ==) | `99.7% <100.0%> (+0.1%)` | :arrow_up: | | [...sts/component\_tests/test\_time\_series\_featurizer.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3Rlc3RzL2NvbXBvbmVudF90ZXN0cy90ZXN0X3RpbWVfc2VyaWVzX2ZlYXR1cml6ZXIucHk=) | `99.7% <100.0%> (+0.1%)` | :arrow_up: | | [.../tests/component\_tests/test\_time\_series\_imputer.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3Rlc3RzL2NvbXBvbmVudF90ZXN0cy90ZXN0X3RpbWVfc2VyaWVzX2ltcHV0ZXIucHk=) | `100.0% <100.0%> (ø)` | | | [evalml/tests/conftest.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3Rlc3RzL2NvbmZ0ZXN0LnB5) | `98.4% <100.0%> (+0.1%)` | :arrow_up: | | [...line\_tests/test\_multiseries\_regression\_pipeline.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3Rlc3RzL3BpcGVsaW5lX3Rlc3RzL3JlZ3Jlc3Npb25fcGlwZWxpbmVfdGVzdHMvdGVzdF9tdWx0aXNlcmllc19yZWdyZXNzaW9uX3BpcGVsaW5lLnB5) | `100.0% <100.0%> (ø)` | | | [evalml/tests/pipeline\_tests/test\_pipeline\_utils.py](https://app.codecov.io/gh/alteryx/evalml/pull/4357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=alteryx#diff-ZXZhbG1sL3Rlc3RzL3BpcGVsaW5lX3Rlc3RzL3Rlc3RfcGlwZWxpbmVfdXRpbHMucHk=) | `99.6% <ø> (ø)` | |

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