Configure Machine Learning Model

Loads a Core ML (Machine Learning) model and prepares it for use.

Options

Name identifies the model on which the ComputeModel function will operate. See ComputeModel function.
Operation specifies how the model is used:
- Vision assumes that the input is a single image, and the output is an array of classifications. A single classification contains a name and a floating-point confidence level.
- General takes one or more scalar input values and returns one finite ordered list of results.
- Unload unloads a model and frees the resources the model consumed. If this operation is used, Name identifies the model to unload.
From specifies a container field with the model’s data file (required for all operations except Unload).

Compatibility

Product	Supported
FileMaker Pro	Partial
FileMaker Go	Yes
FileMaker WebDirect	No
FileMaker Server	Partial
FileMaker Cloud	No
FileMaker Data API	No
Custom Web Publishing	No

Originated in version

19.0

Description

Use this script step to load a Core ML model so that the ComputeModel function can provide the model with its input data and format the output for analysis or display.

The following table explains the Core ML parameter values supported by this script step.

Parameter	Data type in FileMaker Pro
`text`	Text
`int64`	Number
`double`	Number
`image`	A container field with a bitmapped image type supported by the Apple Core Graphics API

Notes

This script step is supported only on iOS, iPadOS, and macOS.
Name can be a calculation.
FileMaker products don’t provide the ability to train models.

Example 1

Loads a vision model from the specified container field.

Copy

Configure Machine Learning Model [ Name: visionModel ; Operation: Vision ; From: ModelContainerField ]

Example 2

Unloads a model from memory.