LabVIEW Analytics and Machine Learning Toolkit API Reference

Load Data (2D Array) VI

  • Updated2023-02-21
  • 3 minute(s) read

Load Data (2D Array) VI

Owning Palette: Data VIs

Requires: Analytics and Machine Learning Toolkit

Loads data and labels for training or deployment.

Training

load data mode specifies how this VI loads data.

0Read Raw Data (default)—Loads raw data.
1Apply Feature Manipulation—Applies feature manipulation to raw data while loading data.
model in specifies the information about the entire workflow of the model.
data specifies the training data.
data labels specifies the labels of the training data.

For classification models, this input must not be empty.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
model out returns the information about the entire workflow of the model. Wire model out to the reference input of a standard Property Node to get an AML Analytics Property Node.
error out contains error information. This output provides standard error out functionality.

Deployment

load data mode specifies how this VI loads data.

0Read Raw Data (default)—Loads raw data.
1Apply Feature Manipulation—Applies feature manipulation to raw data while loading data.
model in specifies the information about the entire workflow of the model.
data specifies the data for deployment.
data labels specifies the labels of data for deployment.
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
model out returns the information about the entire workflow of the model. Wire model out to the reference input of a standard Property Node to get an AML Analytics Property Node.
error out contains error information. This output provides standard error out functionality.