pyts: A Python Package for Time Series Classification
Authors: Johann Faouzi, Hicham Janati
JMLR 2020 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Table 2: Accuracy scores on the test set for the BOSS transformer followed by a one-nearest neighbor classifier with the BOSS metric on several data sets. |
| Researcher Affiliation | Academia | Johann Faouzi EMAIL Aramis Lab, INRIA Paris Brain and Spine Institute 75013 Paris France; Hicham Janati EMAIL Parietal team, INRIA Saclay Neurospin, Bˆat 145 CEA Saclay 91191 Gif sur Yvette France |
| Pseudocode | Yes | Listing 1: Code snippet illustrating pyts s intuitive API on a classification example. |
| Open Source Code | Yes | pyts is an open-source Python package for time series classification. ... Source code and documentation can be downloaded from https://github.com/johannfaouzi/pyts. |
| Open Datasets | Yes | X_train , X_test , y_train , y_test = load_gunpoint(return_X_y=True); Table 2: Accuracy scores on the test set for the BOSS transformer followed by a one-nearest neighbor classifier with the BOSS metric on several data sets. Adiac ECG200 Gun Point Middle Phalanx TW Plane (Sch afer, 2015) |
| Dataset Splits | Yes | X_train , X_test , y_train , y_test = load_gunpoint(return_X_y=True) |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models, memory) are mentioned in the paper. |
| Software Dependencies | Yes | Packages (versions): pyts (0.10.0), sktime (0.3.1), tslearn (0.2.5), seglearn (1.1.0), tsfresh (0.13.0), cesium (0.9.10). |
| Experiment Setup | Yes | clf = BOSSVS(window_size =28) |