PCA Reduction Node

P

AI/ML/Reduction

PCA Reduction

Principal Component Analysis for dimensionality reduction

fit_pcaml

Inputs3

Outputs2

Security exposure4/10

Packageml

Ratings

Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.

SecurityAttack surface and exposure impact.

4/10Medium

PrivacyPotential sensitivity of processed data.

4/10Medium

PerformanceRuntime or resource pressure.

3/10High

GovernancePolicy, audit, or compliance impact.

4/10Medium

ReliabilityOperational stability considerations.

2/10High

CostExternal or compute cost impact.

2/10High

Input Pins

3

Input

Execution

exec_in

Execution trigger that begins PCA reduction

Components

Integer

n_components

Number of principal components to keep

Default 2

Range 1 to 1000

Data Source

String

source

Choose which backend supplies the data

Default Database

Database

Output Pins

2

Done

Execution

exec_out

Activated once PCA transformation completes

Explained Variance

Float Array

explained_variance

Variance explained by each principal component

Node Info

Internal name

fit_pca

Category

AI/ML/Reduction