Software Open Access
raamana/neuropredict: Support for Missing data
Pradeep Reddy Raamana; Kevin Le
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{
"description": "<ul>\n<li>Good news: <code>neuropredict</code> can handle missing data now (that are encoded with <code>numpy.NaN</code>). This is done respecting the cross-validation splits without any data leakage.</li>\n<li>Few other useful utilities</li>\n</ul>",
"license": "",
"creator": [
{
"affiliation": "University of Toronto",
"@type": "Person",
"name": "Pradeep Reddy Raamana"
},
{
"affiliation": "@superphy",
"@type": "Person",
"name": "Kevin Le"
}
],
"url": "https://zenodo.org/record/2554478",
"codeRepository": "https://github.com/raamana/neuropredict/tree/0.5",
"datePublished": "2019-01-31",
"version": "0.5",
"@context": "https://schema.org/",
"identifier": "https://doi.org/10.5281/zenodo.2554478",
"@id": "https://doi.org/10.5281/zenodo.2554478",
"@type": "SoftwareSourceCode",
"name": "raamana/neuropredict: Support for Missing data"
}
537
38
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 537 | 36 |
| Downloads | 38 | 2 |
| Data volume | 122.8 MB | 9.0 MB |
| Unique views | 473 | 34 |
| Unique downloads | 33 | 1 |
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- Publication date:
- January 31, 2019
- DOI:
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- Related identifiers:
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- License (for files):
- Other (Open)