HISTORY.md

History

v0.18.0 - 2024-12-13

Bugs Fixed

• Missing whitespace in DisclosureProtection warning - Issue #694 by @frances-h
• DisclosureProtection should be NaN if baseline score is zero - Issue #693 by @frances-h
• CategoricalCAP metric returns 0 if no overlap in known fields - Issue #692 by @frances-h

New Features

• Add DisclosureProtectionEstimate metric - Issue #676 by @frances-h
• Add DisclosureProtection metric - Issue #675 by @frances-h

v0.17.1 - 2024-12-04

Maintenance

• Create Prepare Release workflow - Issue #674 by @amontanez24
• Update codecov and add flag for integration tests - Issue #644 by @pvk-developer

Bugs Fixed

• InterRowMSAS ignores sequences with missing values - Issue #679 by @fealho
• Improve error handling for datetime values when apply_log = True for InterRowMSAS - Issue #672 by @fealho
• Improve warning handling for non-positive values when apply_log = True for InterRowMSAS - Issue #670 by @fealho
• StatisticMSAS raises undesirable FutureWarning - Issue #665 by @fealho
• KSComplement can be unstable for constant float values - Issue #652 by @fealho

v0.17.0 - 2024-11-14

This release adds a number of Multi-Sequence Aggregate Similarity (MSAS) metrics!

Bugs Fixed

• Relocate timeseries metrics modules - Issue #661 by @fealho
• Fix SequenceLengthSimilarity docstrings - Issue #660 by @fealho
• When running Quality Report, ContingencySimilarity produces a RuntimeWarning (The values in the array are unorderable.) - Issue #656 by @R-Palazzo

New Features

• Add metric for inter-row MSAS - Issue #640 by @fealho
• Add metric for general MSAS statistics - Issue #639 by @fealho
• Add metric for sequence length similarity - Issue #638 by @fealho

v0.16.0 - 2024-09-25

This release improves the performance of the contingency_similarity metric. It also factors dtypes into the score of the TableStructure metric.

Internal

• Try to improve performance of contingency_similarity - Issue #622 by @amontanez24

New Features

• Add dtype comparison in TableStructure metric (used in Diagnostic report) - Issue #631 by @R-Palazzo

v0.15.1 - 2024-08-13

Bugs Fixed

• X-axis for the bar plot should be labeled Value instead of Category - Issue #620 by @R-Palazzo
• LinAlgError when plotting data that is constant - Issue #616 by @R-Palazzo
• Wrong chart title when generating a box plot for just the real data using get_column_pair_plot() - Issue #615 by @R-Palazzo

New Features

• Better error message when passing an SDV Metadata object - Issue #610 by @R-Palazzo
• Check that every property score are index-free - Issue #583 by @R-Palazzo

v0.15.0 - 2024-07-15

This release adds support for NumPy 2.0! Additionally, the visualization utilities no longer require both real and synthetic data to be provided, and they can now be used to visualize only real or only synthetic data.

Maintenance

• Switch to using ruff for Python linting and code formatting - Issue #536 by @gsheni
• Change job names in integration workflow to "integration" - Issue #577 by @rwedge
• Cap numpy to less than 2.0.0 until SDMetrics supports - Issue #591 by @gsheni

Internal

• Switch to using ruff for Python linting and code formatting - Issue #536 by @gsheni

New Features

• Allow me to visualize just the real or synthetic data - Issue #581 by @lajohn4747
• Update Referential Integrity metric to support NaNs in child column - Issue #587 by @R-Palazzo
• Add support for numpy 2.0.0 - Issue #593 by @R-Palazzo

Bugs Fixed

• ColumnPairTrends score depends on the data index - Issue #582 by @R-Palazzo
• Datetime columns set to Object pandas dtype breaks LSTMDetection - Issue #584 by @fealho

v0.14.1 - 2024-05-13

This release patches a bug on the LSTMDetection metric.

Bugs Fixed

• LSTMDetection metric crashes when there are multiple context columns - Issue #298 by @frances-h

Maintenance

• Cleanup automated PR workflows - Issue #566 by @R-Palazzo
• Only run unit and integration tests on oldest and latest python versions for macos - Issue #569 by @R-Palazzo

v0.14.0 - 2024-04-11

This release adds support for Python 3.12! It also improves the way the reports print in verbose mode.

Maintenance

• Support Python 3.12 - Issue #529 by @fealho
• Add dependency checker - Issue #547 by @lajohn4747
• Add bandit workflow - Issue #552 by @R-Palazzo
• Fix minimum version workflow when pointing to github branch - Issue #555 by @R-Palazzo

New Features

• Improve readability of the report scores when verbosity is on - Issue #538 by @lajohn4747

v0.13.1 - 2024-03-14

Maintenance

• Transition from using setup.py to pyroject.toml to specify project metadata - Issue #534 by @lajohn4747
• Remove bumpversion and use bump-my-version - Issue #535 by @R-Palazzo
• Add support for Copulas 0.10 - Issue #541 by @amontanez24

v0.13.0 - 2023-12-04

This release makes significant improvements to the Diagnostic Reports! The report now runs a diagnostic to calculate scores for three basic but important properties of your data: data validity, data structure and in the multi table case, relationship validity. Data validity checks that the columns of your data are valid (eg. correct range or values). Data structure makes sure the synthetic data has the correct columns. Relationship validity checks to make sure key references are correct and the cardinality is within ranges seen in the real data. These changes are meant to make the DiagnosticReport a quick way for you to see if there are any major problems with your synthetic data.

Additionally, some general improvements were made and bugs were resolved. The LogisticDetection and SVCDetection metrics were fixed to only use boolean, categorical, datetime and numeric columns in their calculations. A bug that prevented visualizations from displaying on Jupyter notebooks was patched. The cardinality property in the multi table QualityReport can now handle multiple foreign keys to the same parent. Finally, a new visualization was added for sequential/timeseries data called get_column_line_plot.

New Features

• Detection metrics should only use statistically modeled columns (filter out the rest) - Issue #286 by @lajohn4747
• Add visualization for timeseries / sequential data - Issue #376 by @lajohn4747
• Multi table quality report should handle multi-foreign keys (to same parent) - Issue #406 by @R-Palazzo
• Add KeyUniqueness metric - Issue #460 by @R-Palazzo
• Add ReferentialIntegrity metric - Issue #461 by @R-Palazzo
• Add CategoryAdherence metric - Issue #462 by @R-Palazzo
• Add TableFormat metric - Issue #463 by @R-Palazzo
• Add CardinalityBoundaryAdherence metric - Issue #464 by @frances-h
• Add DataValidity property - Issue #467 by @R-Palazzo
• Add Structure property - Issue #468 by @R-Palazzo
• Add Relationship Validity property - Issue #469 by @R-Palazzo
• Update DiagnosticReport to calculate base correctness of synthetic data - Issue #471 by @R-Palazzo
• Update the synthetic data that's available for the multi-table demo - Issue #501 by @R-Palazzo
• Update the synthetic data that's available for the single-table demo - Issue #502 by @R-Palazzo
• Update TableFormat metric to TableStructure + fix its computation - Issue #518 by @R-Palazzo

Bugs Fixed

• Sometimes graphs don't show when using Jupyter notebook - Issue #322 by @pvk-developer
• Fix ReferentialIntegrity NaN handling - Issue #494 by @R-Palazzo
• KeyUniqueness metric should only be applied to primary and alternate keys - Issue #503 by @R-Palazzo
• Single table Structure property should not have visualization - Issue #504 by @R-Palazzo
• Multi table Structure property visualization has incorrect styling - Issue #505 by @R-Palazzo
• UserWarning: KeyError: 'relationships' in DiagnosticReport if metadata missing relationships - Issue #506 by @R-Palazzo
• Report validate method should be private - Issue #507 by @R-Palazzo
• ValueError in DiagnosticReport if synthetic data does not match metadata - Issue #508 by @R-Palazzo
• Check if QualityReport needs the synthetic data to match the metadata - Issue #509 by @R-Palazzo
• Running single table report on multi table data (or vice versa) results in confusing error - Issue #510 by @R-Palazzo
• Add metadata validation - Issue #526 by @R-Palazzo

v0.12.1 - 2023-11-01

This release fixes a bug with the new Intertable Trends property and older pandas versions and a bug with how the ML Efficacy metric handled train and test data. Reports handle missing relationships more gracefully.

Bugs Fixed

• Multiple FutureWarning lines printed out when running the Quality Report (Intertable Trends property) - Issue #490 by @frances-h
• Transformer should not be fit on test data - Issue #291 by @fealho
• Reports should not crash if there are no relationships - Issue #481 by @lajohn4747

v0.12.0 - 2023-10-31

This release adds a new property, InterTable Trends. Several plots were moved from the reports module into the new visualizations module. The metadata parameter was removed for these plots, and the plot_types parameter was added. plot_types lets the user control which plot type is used. Several crashes have been resolved.

New Features

• Provide meta information about the reports - Pull #472 by @frances-h
• Validate that the metadata is always a dict - Issue #428 by @R-Palazzo
• Expose reports module in top-level init - Pull #459 by @frances-h
• Add new get_column_pair_plot - Issue #444 by @pvk-developer
• Add InterTable Trends property - Issue #451 by @frances-h
• Add new get_column_plot - Issue #443 by @pvk-developer
• Add new get_cardinality_plot - Issue #445 by @frances-h
• Create visualizations module - Issue #442 by @frances-h, @pvk-developer

Bugs Fixed

• Fix NewRowSynthesis on datetime columns without formats - Issue #473 by @fealho
• Intertable trends property crashes if a table has no statistical columns - Issue #476 by @lajohn4747
• Fix BoundaryAdherence NaN handling - Issue #470 by @frances-h
• The Intertable Trends visualization is mislabeled as 'Column Shapes' - Issue #477 by @lajohn4747
• ValueError when using get_cardinality_plot on some schemas - Issue #447 by @frances-h

Internal

• Switch default branch from master to main - Issue #420 by @amontanez24

v0.11.1 - 2023-09-14

This release makes multiple changes to better handle errors that get raised from the DiagnosticReport. The report should be able to run to completion now and have any errors that it encounters reported in a column on the details that can be observed from running get_details. It also resolves many warnings that were interrupting the printing of the report's results and progress.

New Features

• Create single table coverage property - Issue #389 by @R-Palazzo
• Create single table synthesis property - Issue #390 by @R-Palazzo
• Create single table Boundaries property - Issue #391 by @R-Palazzo
• Add multi table Coverage, Synthesis and Boundaries property - Issue #393 by @R-Palazzo

Bugs Fixed

• Ensure that the Synthesis property score doesn't change - Issue #425 by @amontanez24
• The Error column contains a mix of NaN and None values - Issue #427 by @pvk-developer
• Always show the Table column in get_details - Issue #429 by @frances-h
• Diagnostic explanations should not repeat if I generate multiple times - Issue #430 by @amontanez24
• RangeCoverage errors on datetime columns in DiagnosticReport - Issue #431 by @frances-h
• The coverage visualization shows empty bar graph for nan values - Issue #432 by @frances-h
• Diagnostic report should skip over all NaN columns - Issue #433 by @pvk-developer
• Quality report is printing out a long warning message (hundreds of lines) - Issue #448 by @amontanez24

Internal

• Use property classes in single table DiagnosticReport - Issue #392 by @R-Palazzo
• Use property classes in multi table DiagnosticReport - Issue #394 by @R-Palazzo

v0.11.0 - 2023-08-10

This release adds a function that allows users to plot the cardinality of foreign and primary keys in synthetic data. More specifically, it graphs the frequency that each number of children per parent row occurs in the parent table.

Additionally, architectural changes are made to improve the efficiency and error handling of the QualityReport! The progress bar is also enhanced to be more informative when the report is generating.

This release also adds support for Python 3.11 and drops support for Python 3.7.

New Features

• Visualize cardinality of foreign key columns - Issue #283 by @R-Palazzo
• Create single table BaseProperty class - Issue #354 by @amontanez24
• Create single table column shapes property - Issue #355 by @R-Palazzo
• Create single table column pair trends property - Issue #356 by @R-Palazzo
• Create multi table BaseProperty class - Issue #357 by @pvk-developer
• Create multi table column shapes and column pair trends properties - Issue #358 by @R-Palazzo
• Create Parent Child Relationships property class - Issue #359 by @pvk-developer
• In Multi Table Quality Report: Rename "Table Relationships" property to "Cardinality" - Issue #360 by @frances-h
• More accurate progress bar for single table Quality Report - Issue #361 by @R-Palazzo
• More accurate progress bar for multi table Quality Report - Issue #362 by @fealho
• Raise error in CorrelationSimilarity if either column is constant - Issue #407 by @fealho

Bug Fixes

• Issue in building the denormalized table inside the Parent-Child Detection metrics - Issue #328 by @fealho
• Don't modify the rounding in the quality report - Issue #401 by @R-Palazzo
• The Cardinality property is missing some relationships - Issue #404 by @pvk-developer
• The Cardinality property is not returning a DataFrame - Issue #405 by @fealho
• Overall property score should be the average across all breakdowns - Issue #415 by @amontanez24

Internal

• Use property classes in single table QualityReport - Issue #370 by @R-Palazzo
• Use property classes in multi table QualityReport - Issue #371 by @fealho
• Add add-on detection for premium metrics - Issue #388 by @amontanez24

Maintenance

• Add support for Python 3.11 - Issue #353 by @amontanez24
• Drop support for Python 3.7 - Issue #380 by @amontanez24

v0.10.1 - 2023-06-06

This release fixes a bug that was causing the DiagnosticReport to crash on the NewRowSynthesis metric. It also adds support for PyTorch 2.0!

Bug Fixes

• ValueError: multi-line expressions (NewRowSynthesis metric in DiagnosticReport) - Issue #327 by @R-Palazzo

Maintenance

• Upgrade to torch 2.0 - Issue #347 by @fealho

v0.10.0 - 2023-05-03

This release makes the DiagnosticReport more fault tolerant by preventing it from crashing if a metric it uses fails. It also adds support for Pandas 2.0!

Additionally, support for the old SDV metadata format (pre SDV 1.0) has been dropped.

New Features

• Cleanup SDMetrics to only accept SDV 1.0 metadata format - Issue #331 by @amontanez24
• Make the diagnostic report more fault-tolerant - Issue #332 by @frances-h

Maintenance

• Remove upper bound for pandas - Issue #338 by @pvk-developer

v0.9.3 - 2023-04-12

This release improves the clarity of warning/error messages. We also add a version add-on, update the workflow to optimize the runtime and fix a bug in the NewRowSynthesis metric when computing the synthetic_sample_size for multi-table.

### New Features

• Add functionality to find version add-on - Issue #321 by @frances-h
• More detailed warning in QualityReport when there is a constant input - Issue #316 by @pvk-developer
• Make error more informative in QualityReport when tables cannot be merged - Issue #317 by @frances-h
• More detailed warning in QualityReport for unexpected category values - Issue #315 by @frances-h

Bug Fixes

• Multi table DiagnosticReport sets synthetic_sample_size too low for NewRowSynthesis - Issue #320 by @pvk-developer

v0.9.2 - 2023-03-08

This release fixes bugs in the NewRowSynthesis metric when too many columns were present. It also fixes bugs around datetime columns that are formatted as strings in both get_column_pair_plot and get_column_plot.

Bug Fixes

• Method get_column_pair_plot: Does not plot synthetic data if datetime column is formatted as a string - Issue [#310] (#310) by @frances-h
• Method get_column_plot: ValueError if a datetime column is formatted as a string - Issue #309 by @frances-h
• Fix ValueError in the NewRowSynthesis metric (also impacts DiagnosticReport) - Issue #307 by @frances-h

v0.9.1 - 2023-02-17

This release fixes bugs in the existing metrics and reports.

Bug Fixes

• Fix issue-296 for discrete and continuous columns - Issue #296 by @R-Palazzo
• Support new metadata for datetime_format - Issue #303 by @frances-h

v0.9.0 - 2023-01-18

This release supports Python 3.10 and drops support for Python 3.6. We also add a verbosity argument to report generation.

New Features

• Silent mode when creating reports. - Issue #269 by @katxiao
• Support Python versions >=3.7 and <3.11 - Issue 287 by @katxiao

v0.8.1 - 2022-12-09

This release fixes bugs in the existing metrics and reports. We also make the reports compatible with future SDV versions.

New Features

• Filter out additional sdtypes that will be available in future versions of SDV - Issue #265 by @katxiao
• NewRowSynthesis should ignore PrimaryKey column - Issue #260 by @katxiao

Bug Fixes

• Visualization crashes if there are metric errors - Issue #272 by @katxiao
• Score for TVComplement if synthetic data only has missing values - Issue #271 by @katxiao
• Fix 'timestamp' column metadata in the multi table demo - Issue #267 by @katxiao
• Fix 'duration' column in the single table demo - Issue #266 by @katxiao
• README.md example has a bug - Issue #262 by @katxiao
• Update README.md to fix a bug - Issue #263 by @katxiao
• Visualization get_column_pair_plot: update parameter name to column_names - Issue #258 by @katxiao
• "Column Shapes" and "Column Pair Trends" Calculation Inconsistency - Issue #254 by @katxiao
• Diagnostic Report missing RangeCoverage for numerical columns - Issue #255 by @katxiao

v0.8.0 - 2022-11-02

This release introduces the DiagnosticReport, which helps a user verify – at a quick glance – that their data is valid. We also fix an existing bug with detection metrics.

New Features

• Fixes for new metadata - Issue #253 by @katxiao
• Add default synthetic sample size to DiagnosticReport - Issue #248 by @katxiao
• Exclude pii columns from single table metrics - Issue #245 by @katxiao
• Accept both old and new metadata - Issue #244 by @katxiao
• Address Diagnostic Report and metric edge cases - Issue #243 by @katxiao
• Update visualization average per table - Issue #242 by @katxiao
• Add save and load functionality to multi-table DiagnosticReport - Issue #218 by @katxiao
• Visualization methods for the multi-table DiagnosticReport - Issue #217 by @katxiao
• Add getter methods to multi-table DiagnosticReport - Issue #216 by @katxiao
• Create multi-table DiagnosticReport - Issue #215 by @katxiao
• Visualization methods for the single-table DiagnosticReport - Issue #211 by @katxiao
• Add getter methods to single-table DiagnosticReport - Issue #210 by @katxiao
• Create single-table DiagnosticReport - Issue #209 by @katxiao
• Add save and load functionality to single-table DiagnosticReport - Issue #212 by @katxiao
• Add single table diagnostic report - Issue #237 by @katxiao

Bug Fixes

• Detection test test doesn't look at metadata when determining which columns to use - Issue #119 by @R-Palazzo

Internal Improvements

• Remove torch dependency - Issue #233 by @katxiao
• Update README - Issue #250 by @katxiao

v0.7.0 - 2022-09-27

This release introduces the QualityReport, which evaluates how well synthetic data captures mathematical properties from the real data. The QualityReport incorporates the new metrics introduced in the previous release, and allows users to get detailed results, visualize the scores, and save the report for future viewing. We also add utility methods for visualizing columns and pairs of columns.

New Features

• Catch typeerror in new row synthesis query - Issue #234 by @katxiao
• Add NewRowSynthesis Metric - Issue #207 by @katxiao
• Update plot utilities API - Issue #228 by @katxiao
• Fix column pairs visualization bug - Issue #230 by @katxiao
• Save version - Issue #229 by @katxiao
• Update efficacy metrics API - Issue #227 by @katxiao
• Add RangeCoverage Metric - Issue #208 by @katxiao
• Add get_column_pairs_plot utility method - Issue #223 by @katxiao
• Parse date as datetime - Issue #222 by @katxiao
• Update error handling for reports - Issue #221 by @katxiao
• Visualization API update - Issue #220 by @katxiao
• Bug fixes for QualityReport - Issue #219 by @katxiao
• Update column pair metric calculation - Issue #214 by @katxiao
• Add get score methods for multi table QualityReport - Issue #190 by @katxiao
• Add multi table QualityReport visualization methods - Issue #192 by @katxiao
• Add plot_column visualization utility method - Issue #193 by @katxiao
• Add save and load behavior to multi table QualityReport - Issue #188 by @katxiao
• Create multi-table QualityReport - Issue #186 by @katxiao
• Add single table QualityReport visualization methods - Issue #191 by @katxiao
• Add save and load behavior to single table QualityReport - Issue #187 by @katxiao
• Add get score methods for single table Quality Report - Issue #189 by @katxiao
• Create single-table QualityReport - Issue #185 by @katxiao

Internal Improvements

• Auto apply "new" label instead of "pending review" - Issue #164 by @katxiao
• fix typo - Issue #195 by @fealho

v0.6.0 - 2022-08-12

This release removes SDMetric's dependency on the RDT library, and also introduces new quality and diagnostic metrics. Additionally, we introduce a new compute_breakdown method that returns a breakdown of metric results.

New Features

• Handle null values correctly - Issue #194 by @katxiao
• Add wrapper classes for new single and multi table metrics - Issue #169 by @katxiao
• Add CorrelationSimilarity metric - Issue #143 by @katxiao
• Add CardinalityShapeSimilarity metric - Issue #160 by @katxiao
• Add CardinalityStatisticSimilarity metric - Issue #145 by @katxiao
• Add ContingencySimilarity Metric - Issue #159 by @katxiao
• Add TVComplement metric - Issue #142 by @katxiao
• Add MissingValueSimilarity metric - Issue #139 by @katxiao
• Add CategoryCoverage metric - Issue #140 by @katxiao
• Add compute breakdown column for single column - Issue #152 by @katxiao
• Add BoundaryAdherence metric - Issue #138 by @katxiao
• Get KSComplement Score Breakdown - Issue #130 by @katxiao
• Add StatisticSimilarity Metric - Issue #137 by @katxiao
• New features for KSTest.compute - Issue #129 by @amontanez24

Internal Improvements

• Add integration tests and fixes - Issue #183 by @katxiao
• Remove rdt hypertransformer dependency in timeseries metrics - Issue #176 by @katxiao
• Replace rdt LabelEncoder with sklearn - Issue #178 by @katxiao
• Remove rdt as a dependency - Issue #182 by @katxiao
• Use sklearn's OneHotEncoder instead of rdt - Issue #170 by @katxiao
• Remove KSTestExtended - Issue #180 by @katxiao
• Remove TSFClassifierEfficacy and TSFCDetection metrics - Issue #171 by @katxiao
• Update the default tags for a feature request - Issue #172 by @katxiao
• Bump github macos version - Issue #174 by @katxiao
• Fix pydocstyle to check sdmetrics - Issue #153 by @pvk-developer
• Update the RDT version to 1.0 - Issue #150 by @pvk-developer
• Update slack invite link - Issue #132 by @pvk-developer

v0.5.0 - 2022-05-11

This release fixes an error where the relational KSTest crashes if a table doesn't have numerical columns. It also includes some housekeeping, updating the pomegranate and copulas version requirements.

Issues closed

• Cap pomegranate to <0.14.7 - Issue #116 by @csala
• Relational KSTest crashes with IncomputableMetricError if a table doesn't have numerical columns - Issue #109 by @katxiao

v0.4.1 - 2021-12-09

This release improves the handling of metric errors, and updates the default transformer behavior used in SDMetrics.

Issues closed

• Report metric errors from compute_metrics - Issue #107 by @katxiao
• Specify default categorical transformers - Issue #105 by @katxiao

v0.4.0 - 2021-11-16

This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the rest of the SDV ecosystem, and upgrades to the latests RDT release.

Issues closed

• Replace sktime for pyts - Issue #103 by @pvk-developer
• Add support for Python 3.9 - Issue #102 by @pvk-developer
• Increase code style lint - Issue #80 by @fealho
• Add pip check to CI workflows - Issue #79 by @pvk-developer
• Upgrade dependency ranges - Issue #69 by @katxiao

v0.3.2 - 2021-08-16

This release makes pomegranate an optional dependency.

Issues closed

• Make pomegranate an optional dependency - Issue #63 by @fealho

v0.3.1 - 2021-07-12

This release fixes a bug to make the privacy metrics available in the API docs. It also updates dependencies to ensure compatibility with the rest of the SDV ecosystem.

Issues closed

• CategoricalSVM not being imported - Issue #65 by @csala

v0.3.0 - 2021-03-30

This release includes privacy metrics to evaluate if the real data could be obtained or deduced from the synthetic samples. Additionally all the metrics have a normalize method which takes the raw_score generated by the metric and returns a value between 0 and 1.

Issues closed

• Add normalize method to metrics - Issue #51 by @csala and @fealho
• Implement privacy metrics - Issue #36 by @ZhuofanXie and @fealho

v0.2.0 - 2021-02-24

Dependency upgrades to ensure compatibility with the rest of the SDV ecosystem.

v0.1.3 - 2021-02-13

Updates the required dependecies to facilitate a conda release.

Issues closed

• Upgrade sktime - Issue #49 by @fealho

v0.1.2 - 2021-01-27

Big fixing release that addresses several minor errors.

Issues closed

• More splits than classes - Issue #46 by @fealho
• Scipy 1.6.0 causes an AttributeError - Issue #44 by @fealho
• Time series metrics fails with variable length timeseries - Issue #42 by @fealho
• ParentChildDetection metrics KeyError - Issue #39 by @csala

v0.1.1 - 2020-12-30

This version adds Time Series Detection and Efficacy metrics, as well as a fix to ensure that Single Table binary classification efficacy metrics work well with binary targets which are not boolean.

Issues closed

• Timeseries efficacy metrics - Issue #35 by @csala
• Timeseries detection metrics - Issue #34 by @csala
• Ensure binary classification targets are bool - Issue #33 by @csala

v0.1.0 - 2020-12-18

This release introduces a new project organization and API, with metrics grouped by data modality, with a common API:

• Single Column
• Column Pair
• Single Table
• Multi Table
• Time Series

Within each data modality, different families of metrics have been implemented:

• Statistical
• Detection
• Bayesian Network and Gaussian Mixture Likelihood
• Machine Learning Efficacy

v0.0.4 - 2020-11-27

Patch release to relax dependencies and avoid conflicts when using the latest SDV version.

v0.0.3 - 2020-11-20

Fix error on detection metrics when input data contains infinity or NaN values.

Issues closed

• ValueError: Input contains infinity or a value too large for dtype('float64') - Issue #11 by @csala

v0.0.2 - 2020-08-08

Add support for Python 3.8 and a broader range of dependencies.

v0.0.1 - 2020-06-26

First release to PyPI.