abacusai.feature_distribution
Classes
For a single feature, how it has changed in the training data versus some specified window |
Module Contents
- class abacusai.feature_distribution.FeatureDistribution(client, type=None, trainingDistribution=None, predictionDistribution=None, numericalTrainingDistribution=None, numericalPredictionDistribution=None, trainingStatistics=None, predictionStatistics=None)
Bases:
abacusai.return_class.AbstractApiClass
For a single feature, how it has changed in the training data versus some specified window
- Parameters:
client (ApiClient) – An authenticated API Client instance
type (str) – Data type of values in each distribution, typically ‘categorical’ or ‘numerical’.
trainingDistribution (dict) – A dict describing the range of values in the training distribution.
predictionDistribution (dict) – A dict describing the range of values in the specified window.
numericalTrainingDistribution (dict) – A dict describing the summary statistics of the numerical training distribution.
numericalPredictionDistribution (dict) – A dict describing the summary statistics of the numerical prediction distribution.
trainingStatistics (dict) – A dict describing summary statistics of values in the training distribution.
predictionStatistics (dict) – A dict describing summary statistics of values in the specified window.
- type
- training_distribution
- prediction_distribution
- numerical_training_distribution
- numerical_prediction_distribution
- training_statistics
- prediction_statistics
- deprecated_keys
- __repr__()