Dimensionality Reduction#
Basic#
- Operations.reduce_dims(alias, vector_fields, model='pca', n_components=3, filters=None, **kwargs)#
Reduce dimensions
- Parameters
model (Callable) – model to reduce dimensions
n_components (int) – The number of components
alias (str) – The alias of the model
vector_fields (List[str]) – The list of vector fields to support
code-block:: (..) –
from relevanceai import Client client = Client() ds = client.Dataset(“sample”) ds.reduce_dims(
alias=”sample”, vector_fields=[”sample_1_vector_”], model=”pca”
)