tslearn
rocket
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tslearn | rocket | |
---|---|---|
51 | 1 | |
2,780 | 399 | |
1.4% | - | |
6.9 | 1.8 | |
5 days ago | about 2 years ago | |
Python | Python | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 only |
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tslearn
rocket
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How can I get the probability of a rocket classifier?
so I made a simple function to train a Rocket classifier (https://github.com/angus924/rocket). I want to do binary classifications and also plot the ROC curve for that. For the ROC curve I would need the probability scores though. My code is as follows:
What are some alternatives?
sktime - A unified framework for machine learning with time series
hydra - HYDRA: Competing convolutional kernels for fast and accurate time series classification
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
lb - xk media library [Moved to: https://github.com/chapmanjacobd/library]
pytorch-forecasting - Time series forecasting with PyTorch
neural-style-tf - TensorFlow (Python API) implementation of Neural Style
neural_prophet - NeuralProphet: A simple forecasting package
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
SOPG - Secure-Obscure Password Generator