Commit Graph

214 Commits

Author SHA1 Message Date
Alexander Engelsberger
ee30d4da5b [BUGFIX] Initializers can handle Dataloaders now 2021-05-21 16:00:20 +02:00
Alexander Engelsberger
14508f0600 [DOC] Small improvements 2021-05-21 15:59:44 +02:00
Jensun Ravichandran
e3f8828da4 Accept dataloaders for component initialization 2021-05-21 11:59:57 +02:00
Jensun Ravichandran
30adbf705c Update dependencies 2021-05-20 11:44:53 +02:00
Jensun Ravichandran
ee42fd68b1 NumpyDataset now has data and targets properties 2021-05-18 19:38:40 +02:00
Jensun Ravichandran
736d9a6349 Rename PositionAwareInitializer to DataAwareInitializer
Also, add the aliases `Zeros` and `Ones`.
2021-05-18 19:37:25 +02:00
Alexander Engelsberger
0055e15bc1 [DOC] Fix iris data dimension 2021-05-18 18:57:03 +02:00
Alexander Engelsberger
b2e1df7308 Improve dataset documentation. 2021-05-18 18:54:43 +02:00
Jensun Ravichandran
b935e9caf3 Update _get_dp_dm 2021-05-18 13:09:11 +02:00
Jensun Ravichandran
503ef0e05f Cleanup components 2021-05-17 16:58:57 +02:00
Jensun Ravichandran
dc6248413c Apply transformations in component initializers 2021-05-17 16:58:22 +02:00
Jensun Ravichandran
e73b70ceb7 Minor aesthetic change 2021-05-17 16:57:41 +02:00
Jensun Ravichandran
639198e774 Update Iris dataset 2021-05-17 16:57:13 +02:00
Alexander Engelsberger
768d969f89 Device agnostic initialization of components. 2021-05-13 15:21:04 +02:00
Alexander Engelsberger
aec422c277 Remove copy paste error from documentation. 2021-05-13 11:56:38 +02:00
Jensun Ravichandran
6c14170de6 [BUGFIX] Fix typo 2021-05-12 16:31:22 +02:00
Jensun Ravichandran
36a330aa66 Update component initializers 2021-05-12 16:28:55 +02:00
Jensun Ravichandran
acd4ac6a86 Flatten tensors before computing distances 2021-05-12 16:28:34 +02:00
Jensun Ravichandran
abe64cfe8f
Merge pull request #3 from dmoebius-dm/dev
Removed wrong parameter.
2021-05-12 16:23:27 +02:00
Danny
caae95d01d Removed wrong parameter. 2021-05-12 16:00:01 +02:00
Alexander Engelsberger
088429a16a Bump version: 0.4.3 → 0.4.4 2021-05-11 17:17:49 +02:00
Jensun Ravichandran
b6145223c8 [HOTFIX] Add missing iris.py and fix knnc bug 2021-05-11 17:20:48 +02:00
Alexander Engelsberger
09256956f3 Bump version: 0.4.2 → 0.4.3 2021-05-11 17:04:08 +02:00
Jensun Ravichandran
0ca90fdcee Merge branch 'dev' of github.com:si-cim/prototorch into dev 2021-05-11 17:07:04 +02:00
Jensun Ravichandran
be21412f8a Add thin wrapper for the Iris dataset 2021-05-11 17:06:41 +02:00
Jensun Ravichandran
ae6bc47f87 [BUGFIX] Fix knnc 2021-05-11 17:06:27 +02:00
Jensun Ravichandran
7bb93f027a Support for unequal prototype distributions 2021-05-11 16:11:11 +02:00
Alexander Engelsberger
bc20acd63b Bump version: 0.4.1 → 0.4.2 2021-05-11 16:08:37 +02:00
Alexander Engelsberger
a864cf5d4d Bump version: 0.4.0 → 0.4.1 2021-05-11 13:37:54 +02:00
Alexander Engelsberger
2175f524e8 Update bug report issues template. 2021-05-11 13:35:38 +02:00
Alexander Engelsberger
c1c21e92df Add LVQ 1 and LVQ 2.1 loss functions. 2021-05-11 13:25:10 +02:00
Alexander Engelsberger
2b676ee06e Fix travis.yml. 2021-05-10 17:15:05 +02:00
Jensun Ravichandran
dda2f1d779 Clean-up CI setup 2021-05-10 16:37:43 +02:00
Alexander Engelsberger
3a8388e24f Version 0.4.0 2021-05-10 15:13:58 +02:00
Alexander Engelsberger
a9eef8ae6d Bump version: 0.3.1 → 0.4.0 2021-05-10 15:10:07 +02:00
Alexander Engelsberger
ac3091d8da Update Bumpversion config 2021-05-10 15:09:38 +02:00
Jensun Ravichandran
ce3991de94 Accept torch datasets to initialize components 2021-05-07 15:19:22 +02:00
Jensun Ravichandran
47b4b9bcb1 Expose prototorch.datasets 2021-05-07 15:18:33 +02:00
Alexander Engelsberger
19475d7e2b Update Tecator dataset storage id. 2021-05-06 18:42:36 +02:00
Jensun Ravichandran
269eb8ba25 Update unittests to reflect recent changes 2021-05-04 21:17:07 +02:00
Jensun Ravichandran
b06ded683d Update functions/activations.py 2021-05-04 20:55:49 +02:00
Jensun Ravichandran
466e9bde6b Refactor functions/losses.py 2021-05-04 20:36:48 +02:00
Alexander Engelsberger
fc7d64aaea Use Github Default Issue Templates 2021-05-04 11:20:15 +02:00
Jensun Ravichandran
9a7d3192c0 [BUG] GLVQ training is unstable
GLVQ training is unstable when prototypes are initialized exactly to datapoints
without small shifts. Perhaps because of zero distances?
2021-04-29 19:25:28 +02:00
Jensun Ravichandran
e686adbea1 Add spiral dataset 2021-04-29 19:15:35 +02:00
Jensun Ravichandran
b7d53aa5f1 Update initializers 2021-04-29 19:15:27 +02:00
Jensun Ravichandran
9b663477fd Update components 2021-04-29 18:06:26 +02:00
Jensun Ravichandran
a70166280a Update readme 2021-04-29 14:31:36 +02:00
Jensun Ravichandran
a083c4b276
Merge pull request #2 from si-cim/new-components
Create Component and initializer classes.
2021-04-29 13:25:58 +02:00
Alexander Engelsberger
40751aa50a Create Component and initializer classes. 2021-04-26 20:49:50 +02:00