This release is a pre-release and may not be stable for production use.
sciedm - scikit-learn compatible Empirical Dynamic Modeling
sciedm is a scikit-learn compatible implementation of Empirical Dynamic Modeling (EDM). Core code is based on the pyEDM package. An in-depth introduction to EDM is in the pyEDM Docs.
See the sciedm documentation
1 maintainer
Metadata
1 maintainer
Release files for sciedm 1.2.7.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sciedm-1.2.7.dev0.tar.gz | 923.3 kB | Without provenance | Details for sciedm-1.2.7.dev0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sciedm-1.2.7.dev0-py3-none-any.whl | Python 3 | none | any | Details for sciedm-1.2.7.dev0-py3-none-any.whl |
Total release size: 1.1 MB
Release files / sciedm-1.2.7.dev0.tar.gz
| Download URL | sciedm-1.2.7.dev0.tar.gz |
|---|---|
| Size | 923.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.6
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Release files / sciedm-1.2.7.dev0-py3-none-any.whl
| Download URL | sciedm-1.2.7.dev0-py3-none-any.whl |
|---|---|
| Size | 141.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.6
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Security for sciedm 1.2.7.dev0
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