VectorData
Vector data for a specific vector. Contains the precalculated vector values, which can be either dense or sparse.
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| vector_name | str | Name of the vector | |
| var_field | str | Field this vector is for (name, description, content) | |
| vector_type | str | Type of vector (dense_model, sparse_model, full_text, trigrams, whitespace, wmtr, dense_custom, sparse_custom) | |
| dense_vector | List[float] | Dense vector values as a list of floats | [optional] |
| sparse_indices | List[int] | Sparse vector indices (token positions) | [optional] |
| sparse_values | List[float] | Sparse vector values (token weights) | [optional] |
Example
from amgix_client.models.vector_data import VectorData
# TODO update the JSON string below
json = "{}"
# create an instance of VectorData from a JSON string
vector_data_instance = VectorData.from_json(json)
# print the JSON string representation of the object
print(VectorData.to_json())
# convert the object into a dict
vector_data_dict = vector_data_instance.to_dict()
# create an instance of VectorData from a dict
vector_data_from_dict = VectorData.from_dict(vector_data_dict)