DFFML XGBoost Models
About
dffml_model_xgboost supports XGBoost models.
Documentation
Documentation is hosted at https://intel.github.io/dffml/plugins/dffml_model.html#dffml-model-xgboost
License
dffml_model_xgboost Models are distributed under the terms of the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for dffml-model-xgboost 0.1.0.post0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dffml-model-xgboost-0.1.0.post0.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dffml_model_xgboost-0.1.0.post0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
Release files / dffml-model-xgboost-0.1.0.post0.tar.gz
| Download URL | dffml-model-xgboost-0.1.0.post0.tar.gz |
|---|---|
| Size | 7.7 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10
|
Release files / dffml_model_xgboost-0.1.0.post0-py3-none-any.whl
| Download URL | dffml_model_xgboost-0.1.0.post0-py3-none-any.whl |
|---|---|
| Size | 12.2 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10
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