iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data (by trent-b)
TSCV
Time Series Cross-Validation -- an extension for scikit-learn (by WenjieZ)
| iterative-stratification | TSCV | |
|---|---|---|
| 1 | 1 | |
| 817 | 246 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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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.
iterative-stratification
Posts with mentions or reviews of iterative-stratification.
We have used some of these posts to build our list of alternatives
and similar projects.
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TypeError: unhashable type: 'list' when preparing index of labels for MultiLabelBinarizer
I need to create this so I can encode the Labels and run iterative stratification as detailed [here](https://github.com/trent-b/iterative-stratification). Once I have the index prepared, i will run MultiLabelBinarizer to encode the "Labels" list and create a matrix of those values. I will then run the stratification sampling algorithm on that matrix to determine zero-based train and test indices. The code I have below is causing an error.
TSCV
Posts with mentions or reviews of TSCV.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[P] First release candidate of tscv v0.0.5
The wheel binary can be downloaded from my GitHub repo for early testing. If you notice any bug, please open a ticket in the repo. The final version is expected to be released by the end of this month, and users will be able to pip install it.
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