Teneva

Latest version: v0.14.8

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0.14.8

- [FIX] Remove a typo in `svd.svd_incomplete` function, now it works correct
- [NEW] Add `anova_func.anova_func` function (it will be further improved) and related demo
- [NEW] Add `sample.sample_rand_poi` function and related demo
- [DEM] Small update of the demos for `als` and `als_func` modules

0.14.7

- [UPG] More accurate and fast code for `als_func.als_func` function
- [UPG] Add arbitraty basis function support for `func.func_get` function and support for only one input point
- [UPG] Add custom scale to `grid.poi_scale` function
- [UPG] Small upgrade of the `cross.cross` function arguments and more accurate `info` usage
- [NEW] Add `tensors.rand_stab` function, which build stable (for large dimensions) random TT-tensor
- [TST] Add various tests to several functions from `tensors`, `cross`, `grid` and `func` modules

0.14.6

- [FIX] Fix bug for weights parameter (`w`) in `als.als`
- [FIX] Small fixes for `act_one.copy`, `act_one.interface` and `act_one.get_and_grad`
- [FIX] More accurate operation sequences in `workflow.md`
- [FIX] Update bibtex link to our published paper in `README.md`
- [UPG] Add link to [teneva_opti](https://github.com/AndreiChertkov/teneva_opti) repo in `README.md` and docs
- [TST] Add various tests to several functions from `act_one` and to `als.als`
- [STL] Stylistic code changes for a number of functions from `act_one`
- [DEM] More accurate demos for a number of functions from `act_one`

0.14.5

- [GLB] Set the default `seed` argument to all functions that operate with random values (see the changelog for the version 0.14.3) as `None`, i.e., when the function is called again, new random results will occur, and if the seed is set, then the results become reproducible
- [FIX] Several fixes for workflow instructions in `workflow.md`
- [UPG] List supported python versions in README.md and add useful link
- [STL] Some style fixes for `act_one.get` and `act_one.get_many` functions
- [TST] Add tests for `act_one.get` and `act_one.get_many` functions and update tests for `maxvol.maxvol` and `maxvol.maxvol_rect` functions.
- [DOC] More accurate home page in documentation, fixes for "Notation and general comments" page, add "Useful links" page

0.14.4

- [GLB] Added a dev branch for development, it is planned to use the master branch now only for releases. Updated accordingly the "workflow.md" file

0.14.3

- [GLB] The `seed` argument has been added to all functions that operate with random values (`anova.anova`, `core.core_qr_rand`, `cross_act.cross_act`, `sample.sample`, `sample.sample_lhs`, `sample.sample_rand`, `sample.sample_square`, `sample.sample_tt`, `sample_func.sample_func`, `tensors.rand` and `tensors.rand_norm`), which can be either an integer number (will be used for new numpy generator class) or an instance of the [numpy generator class](https://numpy.org/doc/stable/reference/random/generator.html). Please note that now, on repeated calls without setting a new seed value (default seed is always `42`), these functions will return the same values

- [UPG] Big update for `README.md`: remove irrelevant descriptions, add link to [changelog.md](https://github.com/AndreiChertkov/teneva/blob/master/changelog.md) and [workflow.md](https://github.com/AndreiChertkov/teneva/blob/master/workflow.md), and also add new section with useful links to related repositories and papers

- [NEW] Add new function `sample.sample_rand`

- [FIX] Fix dependencies in `requirements.txt` to better support python 3.9 and also add link to `requirements.txt` into `MANIFEST.in`

- [FIX] Fix small rare bug in `sample.sample_square`

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