com.pulumi.azurenative.machinelearningservices.outputs.TextNerResponse Maven / Gradle / Ivy

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A native Pulumi package for creating and managing Azure resources.
There is a newer version: 2.82.0
// *** WARNING: this file was generated by pulumi-java-gen. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***

package com.pulumi.azurenative.machinelearningservices.outputs;

import com.pulumi.azurenative.machinelearningservices.outputs.MLTableJobInputResponse;
import com.pulumi.azurenative.machinelearningservices.outputs.NlpVerticalFeaturizationSettingsResponse;
import com.pulumi.azurenative.machinelearningservices.outputs.NlpVerticalLimitSettingsResponse;
import com.pulumi.core.annotations.CustomType;
import com.pulumi.exceptions.MissingRequiredPropertyException;
import java.lang.String;
import java.util.Objects;
import java.util.Optional;
import javax.annotation.Nullable;

@CustomType
public final class TextNerResponse {
    /**
     * @return Featurization inputs needed for AutoML job.
     * 
     */
    private @Nullable NlpVerticalFeaturizationSettingsResponse featurizationSettings;
    /**
     * @return Execution constraints for AutoMLJob.
     * 
     */
    private @Nullable NlpVerticalLimitSettingsResponse limitSettings;
    /**
     * @return Log verbosity for the job.
     * 
     */
    private @Nullable String logVerbosity;
    /**
     * @return Primary metric for Text-NER task.
     * Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly.
     * 
     */
    private String primaryMetric;
    /**
     * @return Target column name: This is prediction values column.
     * Also known as label column name in context of classification tasks.
     * 
     */
    private @Nullable String targetColumnName;
    /**
     * @return AutoMLJob Task type.
     * Expected value is 'TextNER'.
     * 
     */
    private String taskType;
    /**
     * @return [Required] Training data input.
     * 
     */
    private MLTableJobInputResponse trainingData;
    /**
     * @return Validation data inputs.
     * 
     */
    private @Nullable MLTableJobInputResponse validationData;

    private TextNerResponse() {}
    /**
     * @return Featurization inputs needed for AutoML job.
     * 
     */
    public Optional featurizationSettings() {
        return Optional.ofNullable(this.featurizationSettings);
    }
    /**
     * @return Execution constraints for AutoMLJob.
     * 
     */
    public Optional limitSettings() {
        return Optional.ofNullable(this.limitSettings);
    }
    /**
     * @return Log verbosity for the job.
     * 
     */
    public Optional logVerbosity() {
        return Optional.ofNullable(this.logVerbosity);
    }
    /**
     * @return Primary metric for Text-NER task.
     * Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly.
     * 
     */
    public String primaryMetric() {
        return this.primaryMetric;
    }
    /**
     * @return Target column name: This is prediction values column.
     * Also known as label column name in context of classification tasks.
     * 
     */
    public Optional targetColumnName() {
        return Optional.ofNullable(this.targetColumnName);
    }
    /**
     * @return AutoMLJob Task type.
     * Expected value is 'TextNER'.
     * 
     */
    public String taskType() {
        return this.taskType;
    }
    /**
     * @return [Required] Training data input.
     * 
     */
    public MLTableJobInputResponse trainingData() {
        return this.trainingData;
    }
    /**
     * @return Validation data inputs.
     * 
     */
    public Optional validationData() {
        return Optional.ofNullable(this.validationData);
    }

    public static Builder builder() {
        return new Builder();
    }

    public static Builder builder(TextNerResponse defaults) {
        return new Builder(defaults);
    }
    @CustomType.Builder
    public static final class Builder {
        private @Nullable NlpVerticalFeaturizationSettingsResponse featurizationSettings;
        private @Nullable NlpVerticalLimitSettingsResponse limitSettings;
        private @Nullable String logVerbosity;
        private String primaryMetric;
        private @Nullable String targetColumnName;
        private String taskType;
        private MLTableJobInputResponse trainingData;
        private @Nullable MLTableJobInputResponse validationData;
        public Builder() {}
        public Builder(TextNerResponse defaults) {
    	      Objects.requireNonNull(defaults);
    	      this.featurizationSettings = defaults.featurizationSettings;
    	      this.limitSettings = defaults.limitSettings;
    	      this.logVerbosity = defaults.logVerbosity;
    	      this.primaryMetric = defaults.primaryMetric;
    	      this.targetColumnName = defaults.targetColumnName;
    	      this.taskType = defaults.taskType;
    	      this.trainingData = defaults.trainingData;
    	      this.validationData = defaults.validationData;
        }

        @CustomType.Setter
        public Builder featurizationSettings(@Nullable NlpVerticalFeaturizationSettingsResponse featurizationSettings) {

            this.featurizationSettings = featurizationSettings;
            return this;
        }
        @CustomType.Setter
        public Builder limitSettings(@Nullable NlpVerticalLimitSettingsResponse limitSettings) {

            this.limitSettings = limitSettings;
            return this;
        }
        @CustomType.Setter
        public Builder logVerbosity(@Nullable String logVerbosity) {

            this.logVerbosity = logVerbosity;
            return this;
        }
        @CustomType.Setter
        public Builder primaryMetric(String primaryMetric) {
            if (primaryMetric == null) {
              throw new MissingRequiredPropertyException("TextNerResponse", "primaryMetric");
            }
            this.primaryMetric = primaryMetric;
            return this;
        }
        @CustomType.Setter
        public Builder targetColumnName(@Nullable String targetColumnName) {

            this.targetColumnName = targetColumnName;
            return this;
        }
        @CustomType.Setter
        public Builder taskType(String taskType) {
            if (taskType == null) {
              throw new MissingRequiredPropertyException("TextNerResponse", "taskType");
            }
            this.taskType = taskType;
            return this;
        }
        @CustomType.Setter
        public Builder trainingData(MLTableJobInputResponse trainingData) {
            if (trainingData == null) {
              throw new MissingRequiredPropertyException("TextNerResponse", "trainingData");
            }
            this.trainingData = trainingData;
            return this;
        }
        @CustomType.Setter
        public Builder validationData(@Nullable MLTableJobInputResponse validationData) {

            this.validationData = validationData;
            return this;
        }
        public TextNerResponse build() {
            final var _resultValue = new TextNerResponse();
            _resultValue.featurizationSettings = featurizationSettings;
            _resultValue.limitSettings = limitSettings;
            _resultValue.logVerbosity = logVerbosity;
            _resultValue.primaryMetric = primaryMetric;
            _resultValue.targetColumnName = targetColumnName;
            _resultValue.taskType = taskType;
            _resultValue.trainingData = trainingData;
            _resultValue.validationData = validationData;
            return _resultValue;
        }
    }
}