Train Regression (Linear) Node

T

AI/ML/Regression

Train Regression (Linear)

Fit/Train Linear Regression Model

fit_linear_regressionml

Inputs2

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.

4/10Medium

GovernancePolicy, audit, or compliance impact.

4/10Medium

ReliabilityOperational stability considerations.

3/10High

CostExternal or compute cost impact.

3/10High

Input Pins

2

Input

Execution

exec_in

Execution trigger that begins regression training

Data Source

String

source

Choose where training data should be loaded from

Default Database

Database

Output Pins

2

Done

Execution

exec_out

Activated once training completes

Model

Struct

model

Thread-safe handle to the trained linear regression model

SchemaNodeMLModelNodeMLModelNodeMLModel1 fields

model_refstringrequired

Schema enforced

Node Info

Internal name

fit_linear_regression

Category

AI/ML/Regression