Skip to main content
View source on Github Arize enum to specify your model environment represented in the platform for further analysis and comparisons
EnvironmentSDK EnvironmentDescription
TrainingEnvironments.TRAININGAn environment used to develop and train ML models (data prep, data processing, and model tuning)
ValidationEnvironments.VALIDATIONAn environment used to evaluate and fine-tune ML models before deployment (testing performance separate from training data)
ProductionEnvironments.PRODUCTIONAn environment to deploy ML modelsand serve predictions
CorpusEnvironments.CORPUSAn environment used to send Corpus/Knowledge Base data to Arize.

​
Code Example

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)
);