com.ibm.watson.discovery.v2.model

Class CreateDocumentClassifierOptions

java.lang.Object

com.ibm.cloud.sdk.core.service.model.GenericModel

com.ibm.watson.discovery.v2.model.CreateDocumentClassifierOptions

All Implemented Interfaces:

com.ibm.cloud.sdk.core.service.model.ObjectModel

public class CreateDocumentClassifierOptions
extends com.ibm.cloud.sdk.core.service.model.GenericModel

The createDocumentClassifier options.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CreateDocumentClassifierOptions.Builder Builder.

Method Summary

Modifier and Type	Method and Description
CreateDocumentClassifier	classifier() Gets the classifier.
CreateDocumentClassifierOptions.Builder	newBuilder() New builder.
String	projectId() Gets the projectId.
InputStream	testData() Gets the testData.
InputStream	trainingData() Gets the trainingData.

Methods inherited from class com.ibm.cloud.sdk.core.service.model.GenericModel

equals, hashCode, toString

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Method Detail

newBuilder

public CreateDocumentClassifierOptions.Builder newBuilder()

New builder.

Returns:

a CreateDocumentClassifierOptions builder

projectId

public String projectId()

Gets the projectId.

The ID of the project. This information can be found from the *Integrate and Deploy* page in Discovery.

Returns:

the projectId

trainingData

public InputStream trainingData()

Gets the trainingData.

The training data CSV file to upload. The CSV file must have headers. The file must include a field that contains the text you want to classify and a field that contains the classification labels that you want to use to classify your data. If you want to specify multiple values in a single field, use a semicolon as the value separator. For a sample file, see [the product documentation](https://cloud.ibm.com/docs/discovery-data?topic=discovery-data-cm-doc-classifier).

Returns:

the trainingData

classifier

public CreateDocumentClassifier classifier()

Gets the classifier.

An object that manages the settings and data that is required to train a document classification model.

Returns:

the classifier

testData

public InputStream testData()

Gets the testData.

The CSV with test data to upload. The column values in the test file must be the same as the column values in the training data file. If no test data is provided, the training data is split into two separate groups of training and test data.

Returns:

the testData