Test Predictor

The documentation is generated based on the sources available at dotnet/machinelearning and released under MIT License.

Type: command Aliases: Test Namespace: Microsoft.ML.Runtime.Data Assembly: Microsoft.ML.Data.dll Microsoft Documentation: Test Predictor

Description

Scores and evaluates a data file.

Parameters

Name Short name Default Description
customColumn col   Columns with custom kinds declared through key assignments, for example, col[Kind]=Name to assign column named ‘Name’ kind ‘Kind’
dataFile data   The data file
evaluator eval   Evaluator to use
featureColumn feat Features Column to use for features
groupColumn group GroupId Column to use for grouping
inputModelFile in   Model file to load
labelColumn lab Label Column to use for labels
loadTransforms loadTrans   Load transforms from model file?
loader     The data loader
nameColumn name Name Name column name
outputDataFile dout   File to save per-instance predictions and metrics to
outputModelFile out   Model file to save
parallel n   Desired degree of parallelism in the data pipeline
randomSeed seed   Random seed
scorer     Scorer to use
server     The web server to publish the RESTful API
summaryFilename sf   Results summary filename
transform xf   Transform
verbose v   Verbose?
weightColumn weight Weight Column to use for example weight