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modelstore is a library for versioning, exporting, and storing machine learning models

Project description

modelstore

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).

The library's 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.

Installation

pip install modelstore

Usage

# 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.

## License

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

http://www.apache.org/licenses/LICENSE-2.0

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.

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