v1.0.1

1.0.1 (2024-08-20)

Features

• add modelUUID as optional value (#163) (672d6b4)
• api: add ability to use environment variables to set spark annotations and resources (#165) (c0843b3)
• ui: Grafana Faro usage improvement (#164) (022e94c)

v1.0.0

1.0.0 (2024-08-05)

Features

• add check (#145) (ba65d21)
• add log loss property for classification models (#131) (d744235)
• add regression line to residuals metric (#111) (c2f5437)
• added CHI2 drift to float columns when cardinality < 15 (#121) (62f3852)
• added field type in drift return, removes threshold of 15 for numerical vatriables (#141) (b08e97d)
• added field type inside drift data (#142) (a19cd20)
• added new log loss metric for binary - current and reference (#129) (52fe9a7)
• added PSI drift method to int columns (#114) (07746f5)
• added regression line calculation (#109) (c5511ed)
• align demo data (#136) (039960b)
• api: add field type as column definition property (#133) (92342b9)
• api: add update model features API (#143) (80875c2)
• api: bump libraries and fix log (#139) (1bd820d)
• changed indexing method, removed job tests (#126) (a2aa7c5)
• improve chi2 (#128) (ce76c86)
• new field_type added, fixed all tests accordingly (#140) (dd6e85b)
• new PSI value, chi2 new method fixed (#134) (d59f33c)
• refactor jobs to test output (#120) (67e94e9)
• sdk: added update model features (#146) (f439c17)
• sdk: improved column definition class (#138) (d126e15)
• ui: add grafana faro on UI (#149) (eb440ec)
• ui: add logLoss to modelQuality binary (#135) (c9d407a)
• ui: add PSI label (#137) (3c5e0a6)
• ui: Edit fieldType in Overview -> variables section (#147) (3f228b2)
• ui: improve regression section and add residuals charts (#118) (ffa9947)
• ui: refactor drift section with field type (#148) (433f8bd)
• ui: remove counterLabel and hide element in header (#123) (c3a744c)
• ui: update label and add legend on chart (#127) (762e1ac)
• ui: use step 3 to select targets,features and predictions (#130) (7eeedae)

Bug Fixes

• add schema in postgres (#122) (e8e143c)
• added psi to enum drift dto (#124) (e601c2d)
• edit regression line structure in model quality dto (#117) (bf9d612)
• finished refactoring for withcolumn prefix (#132) (48c1730)
• return value for regression line casted to float (#115) (d5d862d)
• return values for regression line changed from points to coefficients (#116) (e475478)
• sdk: fix documentation typos (#125) (92ade35)
• ui: fix regression resize chart (#119) (43fc389)

v0.9.0

0.9.0 (2024-07-16)

Features

• add current model quality regression (#90) (65f4f65)
• add current model quality to multiclass metrics (#71) (9cd152f)
• add data quality for regression (#78) (21d9139)
• add data quality multiclass current (#56) (ccb6b79)
• add data quality regression for reference data (#63) (92e327f)
• add latest current and reference job status to modelout (#59) (f062c1d)
• add multiclass dto for model quality of reference part (#46) (20e2d6b)
• add reference regression model quality (#81) (2ee6365)
• add regression current statistics (#72) (d873f05)
• add residuals metrics to regression demo model, edit docker compose in order to block the start of api and ui before the up&running of k3s container first (#108) (8f204d9)
• add residuals to regression dto (#106) (6a662aa)
• add statistics in current dataset for multiclass (#53) (3881f97)
• add support calculations to data quality of classification (#82) (ac26194)
• added drift for regression (#95) (460f79e)
• added job for regression model quality (#51) (9bf435a)
• added model quality metrics for current dataset for regression (#87) (6a63d26)
• added residual calculations, refactor tests (#104) (e344365)
• added residuals to regression current, fix current job for mq - regression reference (#105) (2d4c024)
• added support to binary and multiclass for predictions (#84) (bc61f93)
• edit docker compose to add init-data container (#99) (fb6a08a)
• refactoring model quality dtos (#92) (85d6a64)
• reference multiclass model quality (#49) (e0e68d2)
• spark: added data quality for current regression (#80) (7b5f6b5)
• spark: added reference statistics for regression (#55) (cdff426)
• spark: model quality and drift for current - multiclass classification (#74) (14d2cb9)
• ui: add model quality for multiclass and other improvement (#85) (e75d1ea)
• ui: add reference multiclass model quality (#69) (b505692)
• ui: add support model quality multiclass (#93) (af3ec85)
• ui: implement chart for multi classification (#68) (bfcd273)
• ui: implement regression reference current (#94) (0035b60)
• ui: regression scaffolng (#73) (26ef8f7)
• update wizard (#54) (379ee62)

Bug Fixes

• check that prediction_proba is not None before checking its type (#61) (6942317)
• define single structure for drift metrics (#67) (aed740b)
• edit model quality regression dto and data quality regression dto (#86) (c1dbcb2)
• filter NaN and None before model quality metrics (#70) (02659e7)
• return value for model quality regression to json (#91) (ed4ffd6)
• set correlation id column as optional (#88) (e9d2b99)
• set optional field of current multiclass model quality (#77) (17bed6b)
• ui: add missing template for regression modelType (#102) (1ff9332)
• ui: fix polling issue (#110) ([18fdd58](https:...

v0.8.2

0.8.2 (2024-06-28)

Bug Fixes

• dockerfile ui environment variables (#40) (15f8bbe)
• manage types for all the fiels (#47) (64218fa)
• ui: Improve polling and other fixies (#36) (951905f)

Chores

• add latest reference and current uuids to modelOut dto (#32) (f8fdb5a)
• add statistics for multiclassification + refactoring and improvements (#35) (18588ea)
• allow to select the modelType and update the valid types prediction array (#43) (0c2ad1a)
• api: get all reference/current datasets not paginated (#26) (6967044)
• change type from secondary-light to primary (#42) (f2af815)
• data quality for multiclass + fix class metrics (#41) (7cc870a)
• fix binary (#48) (1a66a72)
• get all models not paginated (#27) (06bd2ef)
• refactoring of metrics part (#38) (6cb8bbe)
• sdk: added ability to set S3 endpoint url if needed (#34) (c6a8f14)
• sdk: get all reference and current datasets (#31) (5b1832d)
• ui: add multi-classification folder structure and refactoring binary folder structure (#45) (7285847)

v0.8.1

0.8.1 (2024-06-25)

Bug Fixes

• removed all .count() and replaced with attribute in the class definition (#16) (b86c5ec)
• ui: fix import path for DataQualityMetrics and ModelQualityMetrics in import-detail-modal (#24) (0be20d5)
• ui: show filename in import-detail-modal header (#25) (99629c5)

Chores

• force dataType to TABULAR (#7) (c9c37ff)
• sdk: align reference metrics business models with API (#11) (0db1dfe)
• sdk: apply ruff format and lint like done in API project (#18) (41fd0cf)
• sdk: get current dataset statistics (#13) (dec2d05)
• sdk: get current model quality metrics (#21) (74fef65)
• sdk: get data quality for current dataset (#19) (fce83aa)
• sdk: implement get current dataset drift (#15) (7513b39)
• sdk: manage all metrics based on model type (#22) (8d2710e)

v0.8.0

0.8.0 (2024-06-20)

Features

• first public release (b00ff4f)