mcos
Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"
1 maintainer
Release files for mcos 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcos-0.0.1.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcos-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 kB
Release files / mcos-0.0.1.tar.gz
| Download URL | mcos-0.0.1.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4
|
Release files / mcos-0.0.1-py3-none-any.whl
| Download URL | mcos-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
d28ac7bb0e43131ada631d7019210eb5fc6743832af7337329eedac783b60759
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4
|
