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Version: 1.43

Prediction logs

This section explains how to retrieve predictions logs of a Deployment. Retrieving prediction logs allows you to evaluate or submit actuals over them. It's also possible to use the retrieval functionality to export predictions.

Request logs​

To see which requests have been made, you can retrieve the request logs. One request can contain multiple predictions.

request_logs = client.get_request_logs(deployment_id)

Prediction logs​

There are various way to query the prediction logs, all shown in the Get Prediction Log options

from deeploy import GetPredictionLogsOptions

get_options: GetPredictionLogsOptions = {
    "start": 1706223600000,
    "offset": 0,
    "limit": 10,
    "sort": "createdAt:desc",
    "custom_id": "like:example",
    "prediction_class": "in:firstClass,secondClass",
    "actual": "eq:available",
    "evaluation": "in:agreed,disagreed",
    "status": "eq:success",
}

prediction_logs = client.get_prediction_logs(deployment_id, get_options)

To retrieve a single prediction log, you can use the id parameter.

from deeploy import GetPredictionLogsOptions

get_options: GetPredictionLogsOptions = {
    "id": "eq:b6d8c781-2526-4e03-9b43-4c1a62d064db",
}

prediction_logs = client.get_prediction_logs(deployment_id, get_options)