abacusai.range_violation
Classes
Summary of important range mismatches for a numerical feature discovered by a model monitoring instance |
Module Contents
- class abacusai.range_violation.RangeViolation(client, name=None, trainingMin=None, trainingMax=None, predictionMin=None, predictionMax=None, freqAboveTrainingRange=None, freqBelowTrainingRange=None)
Bases:
abacusai.return_class.AbstractApiClass
Summary of important range mismatches for a numerical feature discovered by a model monitoring instance
- Parameters:
client (ApiClient) – An authenticated API Client instance
name (str) – Name of feature.
trainingMin (float) – Minimum value of training distribution for the specified feature.
trainingMax (float) – Maximum value of training distribution for the specified feature.
predictionMin (float) – Minimum value of prediction distribution for the specified feature.
predictionMax (float) – Maximum value of prediction distribution for the specified feature.
freqAboveTrainingRange (float) – Frequency of prediction rows below training minimum for the specified feature.
freqBelowTrainingRange (float) – Frequency of prediction rows above training maximum for the specified feature.
- name
- training_min
- training_max
- prediction_min
- prediction_max
- freq_above_training_range
- freq_below_training_range
- deprecated_keys
- __repr__()