PyForecastTools
Forecast Verification/Validation Tools in Python (by drsteve)
confidenceinterval
The long missing library for python confidence intervals (by jacobgil)
PyForecastTools | confidenceinterval | |
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1 | 1 | |
30 | 118 | |
- | - | |
3.7 | 5.8 | |
12 months ago | 6 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
PyForecastTools
Posts with mentions or reviews of PyForecastTools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-11.
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[P] Introducing confidenceinterval, the long missing python library for computing confidence intervals
Nice to see a python implementation of deLong's method - I've had to use pROC (in R) for that in the past. For binary event analysis (among other things) there's also https://github.com/drsteve/PyForecastTools, which also has bootstrapped confidence intervals, or analytic CI using Wald or Agresti-Coull. The terminology is from weather literature, but it covers a lot of the same ground.
confidenceinterval
Posts with mentions or reviews of confidenceinterval.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-11.
What are some alternatives?
When comparing PyForecastTools and confidenceinterval you can also consider the following projects:
awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.
pillow - Python Imaging Library (Fork)