Releases
v0.39.0
v0.39.0 Dec. 9, 2021
Enhancements
Renamed DelayedFeatureTransformer
to TimeSeriesFeaturizer
and enhanced it to compute rolling features #3028
Added ability to impute only specific columns in PerColumnImputer
#3123
Added TimeSeriesParametersDataCheck
to verify the time series parameters are valid given the number of splits in cross validation #3111
Fixes
Default parameters for RFRegressorSelectFromModel
and RFClassifierSelectFromModel
has been fixed to avoid selecting all features #3110
Changes
Removed reliance on a datetime index for ARIMARegressor
and ProphetRegressor
#3104
Included target leakage check when fitting ARIMARegressor
to account for the lack of TimeSeriesFeaturizer
in ARIMARegressor
based pipelines #3104
Cleaned up and refactored InvalidTargetDataCheck
implementation and docstring #3122
Removed indices information from the output of HighlyNullDataCheck
's validate()
method #3092
Added ReplaceNullableTypes
component to prepare for handling pandas nullable types. #3090
Removed unused EnsembleMissingPipelinesError
exception definition #3131
Documentation Changes
Testing Changes
Refactored tests to avoid using importorskip
#3126
Added skip_during_conda
test marker to skip tests that are not supposed to run during conda build #3127
Added skip_if_39
test marker to skip tests that are not supposed to run during python 3.9 #3133
Breaking Changes
Renamed DelayedFeatureTransformer
to TimeSeriesFeaturizer
#3028
ProphetRegressor
now requires a datetime column in X
represented by the date_index
parameter #3104
Renamed module evalml.data_checks.invalid_target_data_check
to evalml.data_checks.invalid_targets_data_check
#3122
Removed unused EnsembleMissingPipelinesError
exception definition #3131
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