Jigyasu Krishnan

Results 21 issues of Jigyasu Krishnan

_Stacks on #8347 and #8347 stacks on #8267, please merge in that order._ This PR adds `ClassificationBenchmark` class for benchmarking of classifiers. The design for it is mostly taken from...

Paper: [https://arxiv.org/abs/2310.01728](https://arxiv.org/abs/2310.01728) Official code: [https://github.com/KimMeen/Time-LLM](https://github.com/KimMeen/Time-LLM) The `sktime` interface to `TimeLLM` (vendor) currently misses some implementation from the original architecture. * Reprogramming and mapping layers from the original implementation needs to...

module:forecasting
enhancement

This PR fixes the development-dependencies installation command so that it works universally across all terminals and operating systems. While setting up a development environment on macOS, I discovered that the...

**Which URL are your requesting to add?** https://jgyasu.github.io **Is the download size of the site you are adding smaller than 256kB in total?** - [X] Yes, I checked the size...

Membership Request

Stacks on #8749 Partially fixes #9077 This PR implements a catalogue (collection) of datasets, algorithms, metrics, and CV splitters used in the Bake Off 2017 study.

module:classification
enhancement
module:metrics&benchmarking

This PR introduces a new catalogues API for organising and accessing related groups of sktime objects (datasets, estimators, metrics, etc.). To understand the need and origin idea of catalogues, please...

enhancement
module:base-framework

Currently `PresplitFilesCV` and `SingleSplit` doesn't inherit from `BaseSplitter` which leads to them not getting discovered by the registry. This PR fixes it.

enhancement
module:splitters&resamplers

PR #8749 adds catalogue API, it includes the `BaseCatalogue` class and a dummy forecasting and classification catalogue along with tests. Details about the API can be found on the above...

enhancement
module:metrics&benchmarking

sktime's older dataset downloader used to download datasets from URLs, with 1 dataset/URL. We then moved to use HuggingFace as our dataset hosts, to be more precise, we now use...

enhancement
module:datasets&loaders
module:metrics&benchmarking

This PR adds overall weighted average score which was used in the M4 forecasting competition. The metric is defined as: `OWA = 0.5 * ( MASE / MASE_Naive2 + sMAPE...

enhancement
module:metrics&benchmarking