t-SNE Reduction Node

T

AI/ML/Reduction

t-SNE Reduction

t-Distributed Stochastic Neighbor Embedding for dimensionality reduction (placeholder - not yet implemented)

fit_tsneml

Inputs3

Outputs1

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.

7/10Low

GovernancePolicy, audit, or compliance impact.

4/10Medium

ReliabilityOperational stability considerations.

5/10Medium

CostExternal or compute cost impact.

6/10Medium

Input Pins

3

Input

Execution

exec_in

Execution trigger

Components

Integer

n_components

Number of dimensions to reduce to (typically 2 or 3)

Default 2

Perplexity

Float

perplexity

Related to the number of nearest neighbors (typical values: 5-50)

Default 30

Output Pins

1

Done

Execution

exec_out

Activated once t-SNE transformation completes

Node Info

Internal name

fit_tsne

Category

AI/ML/Reduction