modelstore is a library for versioning, exporting, and storing machine learning models
modelstore is a Python library that allows you to version, export, and save a machine learning models
to your filesystem or a cloud storage provider (AWS or GCP).
ModelStore helps you to (a) version your mdoels, (b) store them in a structured way, and
(c) collect meta data about the Python runtime that was used to train them.
pip install modelstore
# Train your model clf = RandomForestClassifier(n_estimators=10) clf = clf.fit(X, Y) # Create a model store that uses a Google Cloud bucket (or AWS bucket) ms = ModelStore.from_gcloud( project_name="my-project", bucket_name="my-bucket", ) # Create an archive that exports your model archive = ms.sklearn.create_archive(model=clf) # Upload the archive to your model store meta_data = ms.upload(domain="example-model", archive) print(json.dumps(meta_data, indent=4))
For more details, please refer to the documentation.
Copyright 2020 Neal Lathia
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size modelstore-0.0.1b0-py3-none-any.whl (45.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size modelstore-0.0.1b0.tar.gz (17.5 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for modelstore-0.0.1b0-py3-none-any.whl