utils.types.Environments
Arize enum to specify your model environment represented in the platform for further analysis and comparisons
Environment | SDK Environment | Description |
|---|---|---|
Training | Environments.TRAINING | An environment used to develop and train ML models (data prep, data processing, and model tuning) |
Validation | Environments.VALIDATION | An environment used to evaluate and fine-tune ML models before deployment (testing performance separate from training data) |
Production | Environments.PRODUCTION | An environment to deploy ML models and serve predictions |
Corpus | Environments.CORPUS |
response = arize_client.log(
model_id='sample-model',
...
environment=Environments.TRAINING
)
response = arize_client.log(
model_id='sample-model',
...
environment=Environments.VALIDATION
)
response = arize_client.log(
model_id='sample-model',
...
environment=Environments.PRODUCTION
)
response = arize_client.log(
model_id='sample-model',
...
environment=Environments.CORPUS
)
Last modified 25d ago