Why did you join sktime's mentorship program?
I joined the mentorship program as part of a final seminar for my B.Sc. degree in Software Engineering.
My goals for the Seminar -
Contributing several algorithms to sktime
Understand the design and architecture of sktime
Taking part in a CI/CD open-source community
The mentoring program is a great way to achieve all of the above.
What topics are you working on?Kalman Filter
The Kalman Filter is an unsupervised algorithm consisting of several mathematical equations which are used to create an estimate of the state of a process.
Kalman Filter can be used as a Transformer or a Forecaster, and I’ve been working on integrating both estimators into sktime.
Transformer -
issue, PR, merged code.
Forecaster -
issue, draft PRSemantic Segmentation algorithms
FLUSS (Fast Low-cost Unipotent Semantic Segmentation) and FLOSS (Fast Low-cost Online Semantic Segmentation) are “semantic segmentation” algorithms that divide a time series into internally consistent homogenous regions called regimes.
FLUSS issue, FLOSS issue.
What are your learning goals?
Learning about collaborative coding practices
Deepen my knowledge in machine learning algorithms for time series
Improve my coding skills by using aspects of software engineering.
Mentee: Noa Ben Ami
Mentors: @fkiraly, @lmmentel, @Lovkush-A
Why did you join sktime's mentorship program? I joined the mentorship program as part of a final seminar for my B.Sc. degree in Software Engineering. My goals for the Seminar -
The mentoring program is a great way to achieve all of the above.
What topics are you working on? Kalman Filter The Kalman Filter is an unsupervised algorithm consisting of several mathematical equations which are used to create an estimate of the state of a process. Kalman Filter can be used as a Transformer or a Forecaster, and I’ve been working on integrating both estimators into sktime. Transformer - issue, PR, merged code. Forecaster - issue, draft PR Semantic Segmentation algorithms FLUSS (Fast Low-cost Unipotent Semantic Segmentation) and FLOSS (Fast Low-cost Online Semantic Segmentation) are “semantic segmentation” algorithms that divide a time series into internally consistent homogenous regions called regimes. FLUSS issue, FLOSS issue.
What are your learning goals?
What's next for you after the mentorship program?