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3.0.0-rc

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Refactor of ML Toolkit (KxSystems#87)

* update to xval fitscore to support XGBoost models

* xval refactor

* xval refactor

* update to timeseries; Added save/load functionality

* review of xval

* review of graph

* updated param to camelcase

* review of graphing structure

* added utils function

* made naming verbose. Cleaned up code formatting for if statements

* update README

* add @Private for util funcs

* new fresh format

* new fresh format

* fixes to hyperparam json file for single values

* utils refactor

* feature function refactor

* final refactoring

* formatting

* formatting review

* timeseries windows tests

* updates to fresh tests

* python utilities

* refactor of util folder

* refactor review

* refactor or optimize section

* Addition of test script for line length exceeding 80 characters, updates in line with this and minor changes to aspects of the optimization code

* Added deprecation warning. Updated namespace for xval

* review of clust code

* updated cutDict comment

* upd cutK

* Minor changes to deprecation functionality

* updated functionMapping for clustering

* fixed sigfeat tests

* updates resulting from review of clustering refactor/update

* fix to scoring tests

* Fix bugs

* review of clust update

* Fixed hierarchial comments

* removed redundant min function

* added WLS,OLS functionality, updated describe function. Updated failing tests for fresh

* updated tests and describe function

* addition of stats folder

* update order of inputs

* updated format of fit/predict inputs

* added WLS fit function. Fixed inputs to OLS fit order

* fixed travis issue for mac

* resolved comments

* changed all fit/predict functions to the same format. Updated timeseries tests

* fixed indentation

* added stats tests to bash script

* added time series tests for windows

* resolve latest comments

* update function mapping and fixed comments

* addition of README

* updated describe function, fixed errors in timeseries and graphimg

* fixed filelength

* ml utilities style review

* fixed line lengths

* fixed crossEntropy

* fixed .ml.i.findKey

* added changes from comments

* review of stats

* reviewed fresh and fixed stats test

* updating clustering and replying to comments on stats and fresh

* try to fix 'branch outside repository error'

* new commit on new branch

* changes to clust/utils.q after comments

* commiting with kx email address

* commiting with kx email address

* review optimize library

* fixed desc from fileoverview

* changes for comments

* fixed @type comments

* review remainder of ml libraries

* changes following comments

* fileoverview changed in pipeline file

* changed init file

* fixed .ml.i.ap added .ml.infReplace for all types

* added test for keyed table infReplace

* change predict -> transform

* fixed init file. Clash with AutoML if not in ml namespace

* resolved comments

Co-authored-by: Deanna Morgan <[email protected]>
Co-authored-by: dmorgankx <[email protected]>
Co-authored-by: Conor McCarthy <[email protected]>
Co-authored-by: Conor McCarthy <[email protected]>
Co-authored-by: unknown <Andrew Morrison>
Co-authored-by: Andrew Morrison <[email protected]>
Co-authored-by: Andrew Morrison <[email protected]>

2.0.0

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update percentile to ensure at least one feature is returned (KxSyste…

…ms#86)

2.0.0-rc.2

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Merge pull request KxSystems#82 from dmorgankx/cluster_streaming

Addition of clustering fit, predict and update methods

2.0.0-rc.1

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v2.0.0 (KxSystems#79)

* Handling of null datetimes in pandas dataframes, pandas > 1.0 now default for support

* removal of error trap

* Minor change to structure of dt_convert

* unneccesary conversion to timestamp

* wording update

* addition of missing xval folder from releases

* updated ksdistrib to correspond with scipy

* sanity check for scipy version within select.q added

* new grid/random/sobol searching methods

* sobol requirements

* requirement updates for sobol

* check for number of random hps

* sobol check fix

* gs/rs tests

* addition of 1st pass graph/pipeline code

* initial pass at graphing tests

* Increased testing, covering base functionality

* update to account for testing and packaging of graph functionality

* updated tab2df to account for list of char being passed

* addition of most basic modules to ml toolkit (loading/saving data)

* addition of loading and saving modules to ml graph library (most basic generally useful module)

* update to graph functionality to handle generic dictionaries

* minor update to graph.t to increase converage and explicitly test the output error not just that function errors

* addition of node update failing functions

* added labelencode function and tests to preproc

* update to labelencode functionality and addition of application function for this

* addition of time series and optimization functionality for oct 7th release

* update to tests to correctly load data

* update to README to add in reference to optimization, graphing and time series

* added README for timeseries

* changed time series to lower case

* first pass at optimization tests

* addition of datasets for testing

* update to test data path

* update to tests to handle discrepencies between q versions

* update to optimize test and addition of dictCheck tests

* revert of prediction functionality as tests are already covered

* removal of sobol-seq from from requirements due to lack of conda install and issues with using this and conda

* reintroduction of requirements file

* trigger build

* reordering of requirements to trigger build

* stationality -> stationarity as this is the correct term

* renaming of dataset for stationarity

* movement from conda to pip install with docker

* fixed windowed feat function

* full coverage of failing tests for graph library

* updated appveyor files

* addition of width parameter to autocorrelation plot

* addition of timeseries and optimization tests

* included optimization files and fixed cluster test

* added saved input files for optim func

* restructure

* restructure and addition of windows data

* restructure and addition of windows data

* separate windows and linux folders

* updated optim tests for windows/linux

Co-authored-by: dmorgankx <[email protected]>
Co-authored-by: Deanna Morgan <[email protected]>
Co-authored-by: Dianeod <[email protected]>
Co-authored-by: Dianeod <[email protected]>

1.0.0

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Tab2df update and test fix (KxSystems#78)

* wording update

* updated ksdistrib to correspond with scipy

* sanity check for scipy version within select.q added

* updated tab2df to account for list of char being passed

* updated percentage_recurring_all_val to account for pandas update

1.0.0-rc.4

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Tab2df update and test fix (KxSystems#78)

* wording update

* updated ksdistrib to correspond with scipy

* sanity check for scipy version within select.q added

* updated tab2df to account for list of char being passed

* updated percentage_recurring_all_val to account for pandas update

1.0.0-rc.3

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Update (KxSystems#76)

* wording update

* updated ksdistrib to correspond with scipy

* sanity check for scipy version within select.q added

1.0.0-rc.2

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Update to include xval in releases and Kolmogorov-Smirnov implementat…

…ion in line with Python (KxSystems#75)

* Handling of null datetimes in pandas dataframes, pandas > 1.0 now default for support

* removal of error trap

* Minor change to structure of dt_convert

* unneccesary conversion to timestamp

* wording update

* addition of missing xval folder from releases

* updated ksdistrib to correspond with scipy

Co-authored-by: Dianeod <[email protected]>
Co-authored-by: Dianeod <[email protected]>

1.0.0-rc.1

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Update to df2tab function to handle NaT for datetime/datetimetz (KxSy…

…stems#73)

* Handling of null datetimes in pandas dataframes, pandas > 1.0 now default for support

* removal of error trap

* Minor change to structure of dt_convert

* unneccesary conversion to timestamp

1.0.0-rc

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Update shield to pickup pre-releases