Compute expected predictor of a Bayesian deep neural networks in the proportional regime in a non-parametric way using the equivalent GP
Raw data
{
"_id": null,
"home_page": null,
"name": "deepbays",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "python, machine learning, gaussian processes, neural networks",
"author": "Rosalba Pacelli",
"author_email": "<rosalba.pacelli@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/a0/1c/0af3c05db41f6701d02ef28a0f4a507af10f4d9fcfb802be8fd9d6792fcb/deepbays-0.0.3.tar.gz",
"platform": null,
"description": "Compute expected predictor of a Bayesian deep neural networks in the proportional regime in a non-parametric way using the equivalent GP\n",
"bugtrack_url": null,
"license": null,
"summary": "Bayesian deep neural networks in the proportional regime",
"version": "0.0.3",
"project_urls": null,
"split_keywords": [
"python",
" machine learning",
" gaussian processes",
" neural networks"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "42308ccff144a26cdbced00f88511f23a73e3708908122d72298bdff90168cd9",
"md5": "d01079b4789103df10f701fbdf5edea7",
"sha256": "4565e00719876a1d04758e138cc756df3a11e8f8d7ccb20391213e9d50de4650"
},
"downloads": -1,
"filename": "deepbays-0.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "d01079b4789103df10f701fbdf5edea7",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 11622,
"upload_time": "2024-04-26T10:48:58",
"upload_time_iso_8601": "2024-04-26T10:48:58.233304Z",
"url": "https://files.pythonhosted.org/packages/42/30/8ccff144a26cdbced00f88511f23a73e3708908122d72298bdff90168cd9/deepbays-0.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a01c0af3c05db41f6701d02ef28a0f4a507af10f4d9fcfb802be8fd9d6792fcb",
"md5": "fdd8103fc15c697b6293fad78cda85fb",
"sha256": "111bfdb96af6128f0653851f0f16de600ea2fde1f80a7470ff304748fbb6b257"
},
"downloads": -1,
"filename": "deepbays-0.0.3.tar.gz",
"has_sig": false,
"md5_digest": "fdd8103fc15c697b6293fad78cda85fb",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 9320,
"upload_time": "2024-04-26T10:48:59",
"upload_time_iso_8601": "2024-04-26T10:48:59.728698Z",
"url": "https://files.pythonhosted.org/packages/a0/1c/0af3c05db41f6701d02ef28a0f4a507af10f4d9fcfb802be8fd9d6792fcb/deepbays-0.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-26 10:48:59",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "deepbays"
}