abacusai.schema
Classes
A schema description for a feature |
Module Contents
- class abacusai.schema.Schema(client, name=None, featureMapping=None, detectedFeatureMapping=None, featureType=None, detectedFeatureType=None, dataType=None, detectedDataType=None, nestedFeatures={}, pointInTimeInfo={})
Bases:
abacusai.return_class.AbstractApiClassA schema description for a feature
- Parameters:
client (ApiClient) – An authenticated API Client instance
name (str) – The unique name of the feature.
featureMapping (str) – The mapping of the feature. The possible values will be based on the project’s use-case. See the (Use Case Documentation)[https://api.abacus.ai/app/help/useCases] for more details.
detectedFeatureMapping (str) – Detected feature mapping for this feature
featureType (str) – The underlying data type of each feature: CATEGORICAL, CATEGORICAL_LIST, NUMERICAL, TIMESTAMP, TEXT, EMAIL, LABEL_LIST, ENTITY_LABEL_LIST, PAGE_LABEL_LIST, JSON, OBJECT_REFERENCE, MULTICATEGORICAL_LIST, COORDINATE_LIST, NUMERICAL_LIST, TIMESTAMP_LIST, ZIPCODE, URL, PAGE_INFOS, PAGES_DOCUMENT, TOKENS_DOCUMENT, MESSAGE_LIST.
detectedFeatureType (str) – The detected feature type for this feature
dataType (str) – The underlying data type of each feature: INTEGER, FLOAT, STRING, DATE, DATETIME, BOOLEAN, LIST, STRUCT, NULL, BINARY.
detectedDataType (str) – The detected data type for this feature
nestedFeatures (NestedFeatureSchema) – List of features of nested feature
pointInTimeInfo (PointInTimeFeatureInfo) – Point in time information for this feature
- name
- feature_mapping
- detected_feature_mapping
- feature_type
- detected_feature_type
- data_type
- detected_data_type
- nested_features
- point_in_time_info
- deprecated_keys
- __repr__()