Skip to content

Latest commit

 

History

History
143 lines (79 loc) · 5.1 KB

CHANGELOG.md

File metadata and controls

143 lines (79 loc) · 5.1 KB
Raw

UrbanSim Templates change log

0.2 (not yet released)

0.2.dev9 (2020-05-15)

  • fixes a bug in BinaryLogitStep simulation where the output is not updated correctly
  • adds a resid attribute to fitted OLSRegressionStep models, for diagnostics

0.2.dev8 (2020-04-17)

  • allows segmented large MNL models to be estimated with a MergedChoiceTable that's passed in by the user (rather than generated automatically), thus achieving parity with the non-segmented model class

0.2.dev7 (2019-07-15)

  • fixes a bug with the out_transform parameter for OLSRegressionStep

0.2.dev6 (2019-04-04)

  • introduces classes for storing common settings: shared.CoreTemplateSettings, shared.OutputColumnSettings
  • adds new shared functions: shared.register_column(), utils.cols_in_expression()
  • modifies ColumnFromExpression template to divide its parameters into three groups

0.2.dev5 (2019-03-29)

  • adds new template: data.ColumnFromExpression

0.2.dev4 (2019-03-26)

  • adds new data management utilities: utils.validate_table(), utils.validate_all_tables(), utils.merge_tables()
  • updates utils.get_data() to use the new merge tool
  • updates BinaryLogitStep and OLSRegressionStep to use the shared to use utils.get_data(), removing any reliance on Orca broadcasts
  • raises the pandas requirement to 0.23

0.2.dev3 (2019-03-21)

  • adds an mct argment to SegmentedLargeMultinomialLogitStep.fit_all()
  • adds an interaction_terms argument to SegmentedLargeMultinomialLogitStep.run_all()

0.2.dev2 (2019-03-04)

  • adds template for saving data: data.SaveTable()
  • renames io.TableFromDisk() to data.LoadTable()

0.2.dev1 (2019-02-27)

  • fixes a crash in small MNL simulation

0.2.dev0 (2019-02-19)

  • adds first data i/o template: io.TableFromDisk()
  • adds support for autorun template property

0.1.3 (2019-07-15)

  • patch to incorporate the out_transform bug fix for OLSRegressionStep, from 0.2.dev7

0.1.2 (2019-02-28)

  • patch to incorporate the small MNL bug fix from 0.2.dev1

0.1.1 (2019-02-05)

0.1.1.dev1 (2019-01-30)

  • adds support for passing multiple tables of interaction terms in large MNL
  • enables on-the-fly creation of output columns in small MNL

0.1.1.dev0 (2019-01-20)

  • allows join keys to be used as data filters in MNL simulation

0.1 (2019-01-16)

0.1.dev25 (2019-01-15)

  • fixes an OLS simulation bug that raised an error when the output column didn't exist yet
  • implements out_transform for OLS simulation

0.1.dev24 (2018-12-20)

  • fixes a string comparison bug that caused problems with binary logit output in Windows
  • adds model as an attribute of large MNL model steps, which provides a choicemodels.MultinomialLogitResults object and is available any time after a model step is fitted
  • enables on-the-fly creation of output columns in large MNL
  • fixes a large MNL simulation bug when there are no valid choosers or alternatives after evaluating the filters
  • moves unit tests out of the module directory

0.1.dev23 (2018-12-13)

  • fixes a bug with interaction terms passed into LargeMultinomialLogitStep.run()

0.1.dev22 (2018-12-13)

  • narrows the output of utils.get_data() to include only the columns requested (plus the index of the primary table) -- previously Orca had also provided some extra columns such as join keys

0.1.dev21 (2018-12-11)

  • adds a new function utils.get_data() to assemble data from Orca, automatically detecting columns included in model expressions and filters

  • implements SegmentedLargeMultinomialLogit.run_all()

0.1.dev20 (2018-12-11)

  • fixes a model expression persistence bug in the small MNL template

0.1.dev19 (2018-12-06)

  • fixes a bug to allow large MNL simulation with multiple chooser tables

0.1.dev18 (2018-11-19)

  • improves installation and testing

0.1.dev17 (2018-11-15)

  • adds an interaction_terms parameter that users can manually pass to LargeMultinomialLogitStep.run(), as a temporary solution until interaction terms are fully handled by the templates
  • also adds a chooser_batch_size parameter in the same place, to reduce memory pressure when there are large numbers of choosers

0.1.dev16 (2018-11-06)

  • adds a tool for testing template validity

0.1.dev15 (2018-10-15)

  • adds new LargeMultinomialLogitStep parameters related to choice simulation: constrained_choices, alt_capacity, chooser_size, and max_iter
  • updates LargeMultinomialLogitStep.run() to use improved simulation utilities from ChoiceModels 0.2.dev4

0.1.dev14 (2018-09-25)

  • adds a template for segmented large MNL models: SegmentedLargeMultinomialLogitStep, which can automatically generate a set of large MNL models based on segmentation rules

0.1.dev13 (2018-09-24)

  • adds a @modelmanager.template decorator that makes a class available to the currently running instance of ModelManager

0.1.dev12 (2018-09-19)

  • moves the register() operation to modelmanager (previously it was a method implemented by the individual templates)
  • adds general ModelManager support for supplemental objects like pickled model results