modeldb
A python client has xgboost support for working with ModelDB machine learning management system.
This library makes it easy for users of the ModelDB ML management system to automatically catalog models built with xgboost pyspark tensorflow scikit-learn.
Extend by muller https://github.com/mullerhai/tsxgb.git
ModelDB is an end-to-end system for managing machine learning models. It ingests models and associated metadata as models are being trained, stores model data in a structured format, and surfaces it through a web-frontend for rich querying. ModelDB runs on Python 2.X and 3.X and can be used with any ML environment via the ModelDB Light API.
Quick start
Install
You can install it using pip3 directly from PyPI:
pip3 install modeldb-community #suggest python 3.6
Custom Configuration
Once installed, you can create a custom syncing scheme setup by typing:
python3 -m modeldb create_config
Unless an alternative syncing scheme is specialized, modeldb will use the packaged syncer.json defaults.
Use
This library requires a connection to a ModelDB server to work. You can see the getting started docs here.
Additional documentation on the light_api and scikit-learn client is also available.
1 maintainer
Metadata
1 maintainer
Release files for modeldb-community 1.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modeldb_community-1.4.1.tar.gz | 79.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modeldb_community-1.4.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 183.5 kB
Release files / modeldb_community-1.4.1.tar.gz
| Download URL | modeldb_community-1.4.1.tar.gz |
|---|---|
| Size | 79.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / modeldb_community-1.4.1-py2.py3-none-any.whl
| Download URL | modeldb_community-1.4.1-py2.py3-none-any.whl |
|---|---|
| Size | 104.0 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/28.8.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.2
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