Sample Dataset Node

AI/ML/Dataset

Sample Dataset

Random sample N records or a ratio from a dataset

ai_ml_dataset_sampleml

Inputs5

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.

5/10Medium

PerformanceRuntime or resource pressure.

4/10Medium

GovernancePolicy, audit, or compliance impact.

4/10Medium

ReliabilityOperational stability considerations.

3/10High

CostExternal or compute cost impact.

4/10Medium

Input Pins

Input

Execution

exec_in

Execution trigger that starts the sampling

Sample Count

Integer

sample_count

Number of records to sample (if set, takes precedence over ratio)

Default 0

Sample Ratio

Float

sample_ratio

Ratio of records to sample (0.0 to 1.0, used if sample_count is 0)

Default 0.1

Range 0 to 1

Data Source

Struct

source

Data Source (DB or CSV)

Schema enforced

Target Database

Struct

target

Destination database connection that receives the sampled rows

Schema enforced

Output Pins

Done

Execution

exec_out

Activated once the sampling has finished

Sampled Count

Integer

sampled_count

Number of records that were sampled

Node Info

Internal name: ai_ml_dataset_sample
Category: AI/ML/Dataset