No project description provided
Project description
Training Pipeline
Install for Development
Create virtual environment:
cd training-pipeline
poetry shell
poetry install
Check the Set Up Additional Tools and Usage sections to see how to set up the additional tools and credentials you need to run this project.
Check out this Medium article for more details about this module.
Usage for Development
Run the scripts in the following order:
- Start the hyperparameter tuning script:
python -m training_pipeline.hyperparameter_tuning
- Upload the best config based on the previous hyperparameter tuning step:
python -m training_pipeline.best_config
- Start the training script using the best configuration uploaded one step before:
python -m training_pipeline.train
NOTE: Be careful to set the ML_PIPELINE_ROOT_DIR
variable as explain in this section.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
training_pipeline-0.1.0.tar.gz
(11.0 kB
view hashes)
Built Distribution
Close
Hashes for training_pipeline-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d75f4d3ee5c9555e0b57283d860fe266f49dc97ac0423fb697d468631df025d |
|
MD5 | 470c14b5c4baaa8a505726bfb18ce665 |
|
BLAKE2b-256 | 41dbfbbf84862b99db254c3b155cbbf51b9aaaa8025a7a87d7e7ce3f41d6ef04 |