|
12 | 12 | Releases
|
13 | 13 | ========
|
14 | 14 |
|
| 15 | +Version 0.2 |
| 16 | +=========== |
| 17 | +[FIX] Documentation and docker workflow file (#449) |
| 18 | +[RELEASE] Changes for release v0.2 (#446) |
| 19 | +[ADD] Allow users to pass feat types to tabular validator (#441) |
| 20 | +[ADD] docs for forecasting task (#443) |
| 21 | +[FIX] fit updates in gluonts (#445) |
| 22 | +[ADD] Time series forecasting (#434) |
| 23 | +[FIX] fix dist twine check for github (#439) |
| 24 | +[ADD] Subsampling Dataset (#398) |
| 25 | +[feat] Add __str__ to autoPyTorchEnum (#405) |
| 26 | +[ADD] feature preprocessors from autosklearn (#378) |
| 27 | +[refactor] Fix SparseMatrixType --> spmatrix and add ispandas (#397) |
| 28 | +[ADD] dataset compression (#387) |
| 29 | +[fix] Update the SMAC version (#388) |
| 30 | +[feat] Add new task inference for APT (#386) |
| 31 | +[FIX] Datamanager in memory (#382) |
| 32 | +[FIX] Fix: keyword arguments to submit (#384) |
| 33 | +[feat] Add coalescer (#376) |
| 34 | +[FIX] Remove redundant categorical imputation (#375) |
| 35 | +[ADD] scalers from autosklearn (#372) |
| 36 | +[ADD] variance thresholding (#373) |
| 37 | +[fix] Change int to np.int32 for the ndarray dtype specification (#371) |
| 38 | +[fix] Hotfix debug no training in simple intensifier (#370) |
| 39 | +[ADD] Test evaluator (#368) |
| 40 | +[FIX] Fix 361 (#367) |
| 41 | +[FIX] fix error after merge |
| 42 | +[ADD] Docker publish workflow (#357) |
| 43 | +[ADD] fit pipeline honoring API constraints with tests (#348) |
| 44 | +[FIX] Update workflow files (#363) |
| 45 | +[feat] Add the option to save a figure in plot setting params (#351) |
| 46 | +[FIX] Cleanup of simple_imputer (#346) |
| 47 | +[feat] Add an object that realizes the perf over time viz (#331) |
| 48 | + |
| 49 | +Contributors v0.2 |
| 50 | +***************** |
| 51 | + |
| 52 | +* Ravin Kohli |
| 53 | +* Shuhei Watanabe |
| 54 | +* Eddie Bergman |
| 55 | +* Difan Deng |
| 56 | + |
15 | 57 | Version 0.1.1
|
16 | 58 | ==============
|
17 | 59 | [refactor] Completely refactored version with a new scikit-learn compatible API.
|
|
0 commit comments