K-Fold Split Node

K

AI/ML/Dataset

K-Fold Split

Generate K train/test splits for cross-validation. Each fold uses (K-1)/K data for training and 1/K for validation.

ai_ml_dataset_kfoldml

Inputs6

Outputs4

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.

5/10Medium

GovernancePolicy, audit, or compliance impact.

3/10High

ReliabilityOperational stability considerations.

2/10High

CostExternal or compute cost impact.

4/10Medium

Input Pins

6

Input

Execution

exec_in

Execution trigger

K (Folds)

Integer

k

Number of folds for cross-validation (typically 5 or 10)

Default 5

Shuffle

Boolean

shuffle

Randomly shuffle data before splitting

Default true

Source Database

Struct

source

Source database containing the dataset

SchemaNodeDBConnectionNodeDBConnectionNodeDBConnection1 fields

cache_keystringrequired

Schema enforced

Training Database

Struct

train_db

Database to receive training data for each fold (will be cleared and filled K times)

SchemaNodeDBConnectionNodeDBConnectionNodeDBConnection1 fields

cache_keystringrequired

Schema enforced

Validation Database

Struct

test_db

Database to receive validation data for each fold (will be cleared and filled K times)

SchemaNodeDBConnectionNodeDBConnectionNodeDBConnection1 fields

cache_keystringrequired

Schema enforced

Output Pins

4

For Each Fold

Execution

exec_fold

Triggered K times, once per fold. Connect your training/evaluation logic here.

Done

Execution

exec_done

Triggered after all folds complete

Current Fold

Integer

fold_index

Current fold index (0 to K-1)

Fold Info

Struct

info

Information about the K-fold split

SchemaKFoldInfoKFoldInfoKFoldInfo3 fields

kinteger:uintrequired

Number of folds generated

format uintmin 0

total_samplesinteger:uintrequired

Total number of samples in dataset

format uintmin 0

samples_per_foldinteger:uintrequired

Approximate samples per fold

format uintmin 0

Node Info

Internal name

ai_ml_dataset_kfold

Category

AI/ML/Dataset