sort by:
Revision Author Date Message Commit Date
ec06c79 Marked test as flaky. (#353) 30 September 2019, 13:38:32 UTC
62bf164 small fix for binned distribution (#352) 30 September 2019, 13:20:57 UTC
ab0befb Started adding code-owners. (#351) 30 September 2019, 10:58:16 UTC
f7ca507 small fixes to box cox (#349) 30 September 2019, 09:42:57 UTC
169ee70 Improve BinnedDistribution (#350) 30 September 2019, 09:40:24 UTC
22da305 Introduce ForecastGenerator to wrap mxnet output into forecast object (#348) * Introduce ForecastWrapper to wrap mxnet output into forecast object * rename ForecastWrapper -> ForecastGenerator 30 September 2019, 08:08:26 UTC
419fc44 Adding GP example on synthetic dataset with built-in plotting (#343) * Adding GP example on synthetic dataset with built-in plotting * Fixing black 28 September 2019, 15:01:28 UTC
8f0291f Increased test timeout. (#346) 27 September 2019, 13:51:52 UTC
6b89c33 Adding tests through github action. (#308) 27 September 2019, 12:37:19 UTC
6992ce8 attempt to fix docs build (#345) 27 September 2019, 11:58:17 UTC
ad76eef add option for feat_static_real (#324) 27 September 2019, 11:12:08 UTC
e5ff6c5 Added SageMaker batch transform support. (#317) * Added SageMaker batch transform support. 26 September 2019, 16:53:36 UTC
a97518d Fix DeepState samples tensor shape (#340) * fix deepstate samples tensor shape * address comments * address comment 25 September 2019, 13:55:19 UTC
29ab758 switched to rollforward (#328) * switched to rollforward Timestamps will now be aligned using the rollforward method instead of rollback method. Additionally fixed incorrect comment. * Fixed tests related to rollforward switch. * Fixed formatting issues. 20 September 2019, 13:24:27 UTC
ae8239d Adding FieldNames to artificial dataset module (#326) * Updating the artifical dataset module to use the defautl field names gluonts.dataset.field_names.FieldName as requested in PR 321 * Fixing style check * Removing code blocks that undid the prediction length chopping at end and context_length chopping at beginning 19 September 2019, 16:34:29 UTC
fd544ab fix a wrong reshaping (#330) 19 September 2019, 14:53:00 UTC
c0bc208 Add missing time features for business day frequency (#325) * add missing time features for business day freqency * move things around 19 September 2019, 14:04:57 UTC
515c45c Manage mxnet context when deserializing predictors (#318) 16 September 2019, 21:40:40 UTC
ff22722 Changed item key to item_id in write_csv_row to reflect changes to the ArtificalDataset in PR #286 (#321) 16 September 2019, 21:16:42 UTC
1cac4c8 Assert that static cat features are used in case cardinality is explicitly set 16 September 2019, 21:06:23 UTC
f35929a include DistributionForecast and make plot generic (#316) 16 September 2019, 20:56:22 UTC
4479857 More operators for synthetic data generation (#286) Additional operators for generating synthetic data set, as well as minor changes to the synthetic data generation API. 16 September 2019, 17:02:00 UTC
96ea70d include quantile function in distribution (#314) 16 September 2019, 08:38:14 UTC
c2fbb47 make tensors and distributions serializable (#312) * make tensors and distributions serializable * make accuracy test for DeepFactor less strict 15 September 2019, 20:58:45 UTC
f20cf9e Pytest-timeout==1.3; removes warnings from logs. (#306) 12 September 2019, 16:13:48 UTC
17897ce Flask~=1.1; removes some warnings. (#307) 12 September 2019, 16:13:30 UTC
ce8c3e5 Create black.yml (#305) 12 September 2019, 15:22:01 UTC
6ca5d5d Added documentation and tests for Deep Factor https://github.com/awslabs/gluon-ts/issues/290 (#297) 10 September 2019, 11:43:23 UTC
cc7f36a fixed bug when changing default activation function in wavenet #295 (#299) 10 September 2019, 10:48:38 UTC
48099c6 fix numerical issue with negative binomial distribution (#288) * fix numerical issue with negative binomial distribution * fix docstring * add missing header 09 September 2019, 19:27:04 UTC
2394ce5 fixes fieldname issues (#292) * fixed fieldname and calc_stats 07 September 2019, 10:43:54 UTC
76f0d27 Bring deep state to gluon-ts (#229) * Add deep state space model * [Deepstate] address numerical stability (resulting from excess padding), add time features * [Deepstate] Add the missing headers * Addressing review comments * [Deepstate] correct typo in docstring * [Deepstate] Add reference for deep state in Bibliography; fix doc string 06 September 2019, 11:27:48 UTC
0c64a03 Added Dockerfile. (#285) 05 September 2019, 13:00:41 UTC
fb041e4 Fixed ProcessStartField. (#277) 02 September 2019, 13:47:38 UTC
4d044a2 Deep Factor [WIP] (#271) * add deep factor * Modified shape documentation and test case for Deep Factor, so the metrics for electricity are approx 0.26 * add missing headers * Added __init__ file to DeepFactor to match those of other models 30 August 2019, 21:18:11 UTC
8721e92 fix pandas warnings in dataset generation (#270) * fix pandas warnings in dataset generation * use frequency_add 30 August 2019, 09:41:42 UTC
95201b0 fix mistake in notebook (#269) 29 August 2019, 21:02:40 UTC
ed3fa81 make item_id field uniform across predictors (#268) * make item_id field uniform across predictors * simplify code 28 August 2019, 15:37:15 UTC
aa579b9 Update lag.py (#266) Updated error message. 28 August 2019, 14:59:02 UTC
e3fc99f Removed `get_granularity`. (#265) Replaced with `pandas.tseries.frequencies.to_offset`. Relates to: #264 28 August 2019, 01:47:50 UTC
7ef55e4 Improvements for wavenet and some utils (#262) - introduce train_window_length to make convolutions more efficient during training - make model hybridizable 27 August 2019, 15:09:04 UTC
4740da0 Fix shapes in CanonicalNetworkBase (#254) * harden test * fix scale shape * sort out tests better 23 August 2019, 18:00:50 UTC
4d710b0 update sphinx to 1.7.9 (#256) 23 August 2019, 15:04:18 UTC
ac8fc9b fix issue with MultivariateGaussianOutput (#257) 23 August 2019, 14:48:45 UTC
40e2de6 Fix yearly freq in process start field. (#253) * Fix yearly freq in process start field. * Added rollback for business day freq. 23 August 2019, 02:16:25 UTC
657efde Reformatted math equations for the log_prob method of the GaussianProcess class (#252) 22 August 2019, 04:32:07 UTC
6072fd9 Fix documentation and enforce stricter doc builds (#226) - Remove Sphinx warnings and enable the `-W` Sphinx option in the docs build in order to avoid introduction of Sphinx warnings in the future. - Fix `__module__` for all `__init__` imports in order to resolve Sphinx errors caused by ambiguous cross-references. - Remove `docs/api/gluonts` from version control and synthesize them as part of the build process. - Generate one file in `docs/api/gluonts` per module. - Add a **References** section with bibliography references. - Add a menu link to the **Development Setup** section. - Remove orphaned **Quick Start** section. 21 August 2019, 23:41:00 UTC
261ee9f fix the shape error of the canonical network (#251) 19 August 2019, 22:53:01 UTC
9ff2fa1 fix the empty item list (#249) 16 August 2019, 21:35:07 UTC
83d0395 Update __main__.py (#250) Fix error logging. 16 August 2019, 21:13:23 UTC
49e13b0 Added error message to top of failure file. (#248) 16 August 2019, 00:55:41 UTC
47f272c Adding failure information to failure file. (#247) 16 August 2019, 00:25:56 UTC
68bee6d Black everything. (#244) 14 August 2019, 02:14:17 UTC
09dc692 GluonTSException bypass fallback. 14 August 2019, 01:07:06 UTC
23e7a09 Made `fallback` process-safe. Added ConstantValuePredictor. 13 August 2019, 23:01:29 UTC
18bd199 Fix shell to have a canonical freq key in hyperparameters. 13 August 2019, 19:50:56 UTC
20aaa71 Fix mean predictor. Forecasts always start at the end of the whole target. 13 August 2019, 19:50:56 UTC
99b0271 Added fallback predictor and decorator. 13 August 2019, 19:50:56 UTC
b2d7517 Added `predict_item` to RepresentablePredictor and adapted subclasses. (#240) * Added `predict_item` to RepresentablePredictor and adapted subclasses. Addresses #238. Also added a way to create a MeanPredictor based on an existing Predictor. 13 August 2019, 19:10:27 UTC
43ca1b7 Adapted mean predictor to use random samples. (#239) * Adapted mean predictor to use random samples. 13 August 2019, 16:51:56 UTC
ffe17d5 fix #234: Added method to fixup non json-spec compliant floats to make the resp… (#236) * Added method to fixup non json-spec compliant floats to make the response json compliant 13 August 2019, 00:13:18 UTC
3ad0216 Moved simple predictors to a distinct model folder. (#237) 13 August 2019, 00:09:12 UTC
c93445a Fixed backtest test. (#235) 12 August 2019, 23:27:27 UTC
e14ad69 Fix num_eval_samples (#232) rename `num_eval_samples` to `num_parallel_samples` and fix some documentation 09 August 2019, 12:18:44 UTC
096b1cc Removed logging for ping. (#233) 08 August 2019, 23:02:30 UTC
c0be26b Bump pandas version and remove timestamp workarounds (#230) * bump pandas version, remove workaround * removed workaround in npts as well * fix mistake 07 August 2019, 21:25:03 UTC
9a1fd93 Added throughput logging for inference. (#228) 01 August 2019, 15:55:03 UTC
3d5b962 Add utilities for shell tests Can be used to test SageMaker integration of different models. Demonstrated by the `test_shell` module that tests the shell itself. 29 July 2019, 16:21:05 UTC
3b34f5e More flexible shell.serve API Introduces the following changes to the `serve` API in order to improve testability. - The `run_inference_server` is refactored as a factory method called `make_gunicorn_app` and now only constructs and returns the gunicorn instance but does not run it. - The `Settings` instance is now passed explicitly as a `make_gunicorn_app` parameter. - Add a `ServerFacade` wrapper class to `shell.serve`. Provides methods that abstract the REST API of a Gunicorn inference server. 29 July 2019, 16:21:05 UTC
432a85e Add `MeanPredictor` to `model.testutil` Also change the `MeanEstimator` parameter from `num_samples` to `num_eval_samples` in alignment with the rest of the codebase. 29 July 2019, 12:39:12 UTC
9cce120 Add support for artificial datasets in the dataset repository - Add support for `ArtificialDataset`-based datasets in the dataset repository through a new `generate_artificial_dataset` function. - Add `constant` as alias for the `ConstantDataset()`. 25 July 2019, 17:07:19 UTC
4f79513 Minor changes in the `shell.sagemaker` package - Factor out `map_dct_values` as a `support.util` method. - Throw an assertion error if the `freq` key is not present after loading the hyperparamters dictionary. - Add encoding support for sagemaker hyperparamter dictionaries. - Pass `base` parameter as `Path` in `TrainPaths` and `ServePaths`. 25 July 2019, 17:07:19 UTC
e19bf0c Improvements in the `core` package - Equality comparisons that recurse in dictionary and list values. - Support for encoding and equality comparisons of numpy arrays and data types. 25 July 2019, 17:07:19 UTC
93d7a56 Serialize training metrics through the logger 25 July 2019, 17:07:19 UTC
ea8b748 Add missing headers 25 July 2019, 17:07:10 UTC
ce262e1 Add a script to check and format license headers 25 July 2019, 17:07:10 UTC
a2cc866 Minor code style fixes (#220) * fix type hinting in backtest_metrics * replace assertion with regular Exception 23 July 2019, 11:52:55 UTC
a6d7e2b Align MXNet version range in conda and docs (#217) 22 July 2019, 17:08:45 UTC
2527812 Unify logging format in shell 22 July 2019, 13:05:47 UTC
d83e584 Commit quantile output format. Now quantiles are a dict with quantile-name -> values. 22 July 2019, 12:08:14 UTC
1f499aa Exclude MXNet 1.5.* from allowed requirements Seems that GluonTS has an issue with the new MXNet version. 22 July 2019, 10:16:15 UTC
b8be837 minor fix to installation docs (#210) 19 July 2019, 16:08:37 UTC
d05eaf6 Transformer (#206) Added transformer model, tests and evaluations 19 July 2019, 15:53:26 UTC
df7b5bd Bump up `setuptools_scm` version 19 July 2019, 13:49:46 UTC
35a3bbf add one more legacy frequency key (#208) 19 July 2019, 01:07:52 UTC
2843761 fix mistake in example (#204) 17 July 2019, 13:16:31 UTC
efe39f7 fix readme links and tutorial titles (#203) 17 July 2019, 13:13:31 UTC
d6bc546 Enable string normalization for black (#202) Enforces double-quoted strings, except for cases where the string content itself contains a double-quote, in which case single-quoted strings are kept unchanged. 17 July 2019, 11:56:22 UTC
4d5c505 Log package and model version in the shell 17 July 2019, 11:25:55 UTC
256a6c2 Better names for the Prophet tests 17 July 2019, 08:34:41 UTC
12d2957 fix docstrings and numpy warnings (#201) 17 July 2019, 07:56:06 UTC
31fa340 fix pandas warnings on npts (#198) 16 July 2019, 16:22:14 UTC
1d9033d TST: add unit tests for mean, stddev, and variance for some (#182) * TST: add unit tests for mean, stddev, and variance for some * TST: add unit tests for mean, stddev, and variance for some * TST: add changes from CR and reformat via `black` Note: the .gitignore and the test_distribution_methods.py files are the changes for the commit. The remaining changes are purely formatting changes from black tool. * FMT: add black changes from upgrade 18.6b4 to 19.3b0 * TST: bring `atol` to 11 b/c 2 was not precise enough 16 July 2019, 16:04:22 UTC
06ad01a Configurable inference server address and timeout 16 July 2019, 11:24:37 UTC
97470e8 fix deepar docstring (#195) * fix deepar docstring * Update src/gluonts/model/deepar/_estimator.py 13 July 2019, 19:13:54 UTC
966cfee Fixed path requirements for shell serve. (#194) 12 July 2019, 09:53:15 UTC
c11513d Simplify Prophet wrapper - Rename input parameter from `prophet` to `prophet_params`. - Remove fallback logic in case of inputs with NaNs. - Remove dummy ProphetEstimator class. 11 July 2019, 16:35:45 UTC
63d2518 ContentType is optional. (#192) 11 July 2019, 09:53:24 UTC
91de798 Refactored metric printing. (#188) 10 July 2019, 12:44:36 UTC
39b72c1 Update README.md (#189) Added badges to readme. 10 July 2019, 12:44:08 UTC
back to top