rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels (by angus924)
sktime
A unified framework for machine learning with time series (by sktime)
| rocket | sktime | |
|---|---|---|
| 1 | 8 | |
| 399 | 7,409 | |
| - | 1.1% | |
| 1.8 | 9.8 | |
| about 2 years ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rocket
Posts with mentions or reviews of rocket.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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:
sktime
Posts with mentions or reviews of sktime.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-14.
-
Keras-tuner tuning hyperparam controlling feature size
I would recommend you to read the following paper: https://arxiv.org/abs/1909.04939 and their implementation: https://github.com/hfawaz/InceptionTime . Moreover, check out sktime: https://github.com/sktime/sktime
-
Does anyone know a trusted Python package for applying Croston's Time series method?
I initially used the SkTime's Croston class SKTime Croston but when I try to get the fitted values using the steps in the discussion on github, the values are the same, a straight line throughout the in-sample to ou-of-sample predictions.
- Forecasting three months ahead.
-
I Need Your Help: Convincing Reasons for Python over C# for ML Pipeline?
Time series -> https://github.com/alan-turing-institute/sktime have a look and have fun :)
-
Good python time series libraries?
SKTime
- Scikit-Learn Version 1.0
-
Sktime: Machine Learning for Time Series
https://github.com/alan-turing-institute/sktime
It provides specialized time series algorithms and scikit-learn compatible tools to build, tune and validate time series models for multiple learning problems.
sktime is built by an active open-source community, working together during regular meetings, workshops and sprints. For new contributors, we provide mentoring sessions and tutorials.
If you are interested in contributing or just a chat about the project, feel free to submit a PR or just reach out to us. We welcome all kinds of contributions: code, API design, testing, documentation, outreach, mentoring and more.
- Darts: Non-Facebook alternative for timeseries forecasting