modelstore is a library for versioning, exporting, and storing machine learning models
Project description
modelstore
modelstore
is a Python library that allows you to export, save and version a machine learning models.
The library's ModelStore
will (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.
This library has been developed using Python 3.7.0
and is in pre-alpha. Please open an issue if you have any trouble!
Installation
pip install modelstore
Usage
from modelstore import ModelStore # And your other imports # 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) model_store = ModelStore.from_gcloud( project_name="my-project", bucket_name="my-bucket", ) # Upload the archive to your model store domain = "example-model" meta_data = model_store.upload(domain, model=clf) # Print the meta-data about the model print(json.dumps(meta_data, indent=4)) # Download the model back! target = f"downloaded-{model_type}-model" os.makedirs(target, exist_ok=True) model_path = model_store.download( local_path=target, domain=model_domain, model_id=meta["model"]["model_id"], )
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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