Adds a Java API for TextClassifier.

PiperOrigin-RevId: 482394706
This commit is contained in:
MediaPipe Team 2022-10-19 23:01:17 -07:00 committed by Copybara-Service
parent 3d588bae8b
commit 41d6f6d005
9 changed files with 629 additions and 1 deletions

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@ -21,6 +21,9 @@ import "mediapipe/framework/calculator.proto";
import "mediapipe/tasks/cc/components/processors/proto/classifier_options.proto";
import "mediapipe/tasks/cc/core/proto/base_options.proto";
option java_package = "com.google.mediapipe.tasks.text.textclassifier.proto";
option java_outer_classname = "TextClassifierGraphOptionsProto";
message TextClassifierGraphOptions {
extend mediapipe.CalculatorOptions {
optional TextClassifierGraphOptions ext = 462704549;

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@ -117,7 +117,7 @@ public class OutputHandler<OutputT extends TaskResult, InputT> {
if (errorListener != null) {
errorListener.onError(e);
} else {
Log.e(TAG, "Error occurs when getting MediaPipe vision task result. " + e);
Log.e(TAG, "Error occurs when getting MediaPipe task result. " + e);
}
} finally {
for (Packet packet : packets) {

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@ -0,0 +1,63 @@
# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
licenses(["notice"])
package(default_visibility = ["//mediapipe/tasks:internal"])
# The native library of all MediaPipe text tasks.
cc_binary(
name = "libmediapipe_tasks_text_jni.so",
linkshared = 1,
linkstatic = 1,
deps = [
"//mediapipe/java/com/google/mediapipe/framework/jni:mediapipe_framework_jni",
"//mediapipe/tasks/cc/text/text_classifier:text_classifier_graph",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/core/jni:model_resources_cache_jni",
],
)
cc_library(
name = "libmediapipe_tasks_text_jni_lib",
srcs = [":libmediapipe_tasks_text_jni.so"],
alwayslink = 1,
)
android_library(
name = "textclassifier",
srcs = [
"textclassifier/TextClassificationResult.java",
"textclassifier/TextClassifier.java",
],
javacopts = [
"-Xep:AndroidJdkLibsChecker:OFF",
],
manifest = "textclassifier/AndroidManifest.xml",
deps = [
"//mediapipe/framework:calculator_options_java_proto_lite",
"//mediapipe/java/com/google/mediapipe/framework:android_framework",
"//mediapipe/tasks/cc/components/containers/proto:category_java_proto_lite",
"//mediapipe/tasks/cc/components/containers/proto:classifications_java_proto_lite",
"//mediapipe/tasks/cc/core/proto:base_options_java_proto_lite",
"//mediapipe/tasks/cc/text/text_classifier/proto:text_classifier_graph_options_java_proto_lite",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/components/containers:category",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/components/containers:classification_entry",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/components/containers:classifications",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/components/processors:classifieroptions",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/core",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/text:libmediapipe_tasks_text_jni_lib",
"//third_party:autovalue",
"@maven//:com_google_guava_guava",
],
)

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@ -0,0 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.google.mediapipe.tasks.text.textclassifier">
<uses-sdk android:minSdkVersion="24"
android:targetSdkVersion="30" />
</manifest>

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@ -0,0 +1,103 @@
// Copyright 2022 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.text.textclassifier;
import com.google.auto.value.AutoValue;
import com.google.mediapipe.tasks.components.container.proto.CategoryProto;
import com.google.mediapipe.tasks.components.container.proto.ClassificationsProto;
import com.google.mediapipe.tasks.components.containers.Category;
import com.google.mediapipe.tasks.components.containers.ClassificationEntry;
import com.google.mediapipe.tasks.components.containers.Classifications;
import com.google.mediapipe.tasks.core.TaskResult;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/** Represents the classification results generated by {@link TextClassifier}. */
@AutoValue
public abstract class TextClassificationResult implements TaskResult {
/**
* Creates an {@link TextClassificationResult} instance from a {@link
* ClassificationsProto.ClassificationResult} protobuf message.
*
* @param classificationResult a {@link ClassificationsProto.ClassificationResult} protobuf
* message.
* @param timestampMs a timestamp for this result.
*/
// TODO: consolidate output formats across platforms.
static TextClassificationResult create(
ClassificationsProto.ClassificationResult classificationResult, long timestampMs) {
List<Classifications> classifications = new ArrayList<>();
for (ClassificationsProto.Classifications classificationsProto :
classificationResult.getClassificationsList()) {
classifications.add(classificationsFromProto(classificationsProto));
}
return new AutoValue_TextClassificationResult(
timestampMs, Collections.unmodifiableList(classifications));
}
@Override
public abstract long timestampMs();
/** Contains one set of results per classifier head. */
@SuppressWarnings("AutoValueImmutableFields")
public abstract List<Classifications> classifications();
/**
* Converts a {@link CategoryProto.Category} protobuf message to a {@link Category} object.
*
* @param category the {@link CategoryProto.Category} protobuf message to convert.
*/
static Category categoryFromProto(CategoryProto.Category category) {
return Category.create(
category.getScore(),
category.getIndex(),
category.getCategoryName(),
category.getDisplayName());
}
/**
* Converts a {@link ClassificationsProto.ClassificationEntry} protobuf message to a {@link
* ClassificationEntry} object.
*
* @param entry the {@link ClassificationsProto.ClassificationEntry} protobuf message to convert.
*/
static ClassificationEntry classificationEntryFromProto(
ClassificationsProto.ClassificationEntry entry) {
List<Category> categories = new ArrayList<>();
for (CategoryProto.Category category : entry.getCategoriesList()) {
categories.add(categoryFromProto(category));
}
return ClassificationEntry.create(categories, entry.getTimestampMs());
}
/**
* Converts a {@link ClassificationsProto.Classifications} protobuf message to a {@link
* Classifications} object.
*
* @param classifications the {@link ClassificationsProto.Classifications} protobuf message to
* convert.
*/
static Classifications classificationsFromProto(
ClassificationsProto.Classifications classifications) {
List<ClassificationEntry> entries = new ArrayList<>();
for (ClassificationsProto.ClassificationEntry entry : classifications.getEntriesList()) {
entries.add(classificationEntryFromProto(entry));
}
return Classifications.create(
entries, classifications.getHeadIndex(), classifications.getHeadName());
}
}

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@ -0,0 +1,254 @@
// Copyright 2022 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.text.textclassifier;
import android.content.Context;
import android.os.ParcelFileDescriptor;
import com.google.auto.value.AutoValue;
import com.google.mediapipe.proto.CalculatorOptionsProto.CalculatorOptions;
import com.google.mediapipe.framework.MediaPipeException;
import com.google.mediapipe.framework.Packet;
import com.google.mediapipe.framework.PacketGetter;
import com.google.mediapipe.framework.ProtoUtil;
import com.google.mediapipe.tasks.components.container.proto.ClassificationsProto;
import com.google.mediapipe.tasks.components.processors.ClassifierOptions;
import com.google.mediapipe.tasks.core.BaseOptions;
import com.google.mediapipe.tasks.core.OutputHandler;
import com.google.mediapipe.tasks.core.TaskInfo;
import com.google.mediapipe.tasks.core.TaskOptions;
import com.google.mediapipe.tasks.core.TaskRunner;
import com.google.mediapipe.tasks.core.proto.BaseOptionsProto;
import com.google.mediapipe.tasks.text.textclassifier.proto.TextClassifierGraphOptionsProto;
import com.google.protobuf.InvalidProtocolBufferException;
import java.io.File;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
/**
* Performs classification on text.
*
* <p>This API expects a TFLite model with (optional) <a
* href="https://www.tensorflow.org/lite/convert/metadata">TFLite Model Metadata</a> that contains
* the mandatory (described below) input tensors, output tensor, and the optional (but recommended)
* label items as AssociatedFiles with type TENSOR_AXIS_LABELS per output classification tensor.
*
* <p>Metadata is required for models with int32 input tensors because it contains the input process
* unit for the model's Tokenizer. No metadata is required for models with string input tensors.
*
* <ul>
* <li>Input tensors
* <ul>
* <li>Three input tensors ({@code kTfLiteInt32}) of shape {@code [batch_size x
* bert_max_seq_len]} representing the input ids, mask ids, and segment ids. This input
* signature requires a Bert Tokenizer process unit in the model metadata.
* <li>Or one input tensor ({@code kTfLiteInt32}) of shape {@code [batch_size x
* max_seq_len]} representing the input ids. This input signature requires a Regex
* Tokenizer process unit in the model metadata.
* <li>Or one input tensor ({@code kTfLiteString}) that is shapeless or has shape {@code
* [1]} containing the input string.
* </ul>
* <li>At least one output tensor ({@code kTfLiteFloat32}/{@code kBool}) with:
* <ul>
* <li>{@code N} classes and shape {@code [1 x N]}
* <li>optional (but recommended) label map(s) as AssociatedFile-s with type
* TENSOR_AXIS_LABELS, containing one label per line. The first such AssociatedFile (if
* any) is used to fill the {@code class_name} field of the results. The {@code
* display_name} field is filled from the AssociatedFile (if any) whose locale matches
* the {@code display_names_locale} field of the {@code TextClassifierOptions} used at
* creation time ("en" by default, i.e. English). If none of these are available, only
* the {@code index} field of the results will be filled.
* </ul>
* </ul>
*/
public final class TextClassifier implements AutoCloseable {
private static final String TAG = TextClassifier.class.getSimpleName();
private static final String TEXT_IN_STREAM_NAME = "text_in";
@SuppressWarnings("ConstantCaseForConstants")
private static final List<String> INPUT_STREAMS =
Collections.unmodifiableList(Arrays.asList("TEXT:" + TEXT_IN_STREAM_NAME));
@SuppressWarnings("ConstantCaseForConstants")
private static final List<String> OUTPUT_STREAMS =
Collections.unmodifiableList(
Arrays.asList("CLASSIFICATION_RESULT:classification_result_out"));
private static final int CLASSIFICATION_RESULT_OUT_STREAM_INDEX = 0;
private static final String TASK_GRAPH_NAME =
"mediapipe.tasks.text.text_classifier.TextClassifierGraph";
private final TaskRunner runner;
static {
System.loadLibrary("mediapipe_tasks_text_jni");
ProtoUtil.registerTypeName(
ClassificationsProto.ClassificationResult.class,
"mediapipe.tasks.components.containers.proto.ClassificationResult");
}
/**
* Creates a {@link TextClassifier} instance from a model file and the default {@link
* TextClassifierOptions}.
*
* @param context an Android {@link Context}.
* @param modelPath path to the text model with metadata in the assets.
* @throws MediaPipeException if there is is an error during {@link TextClassifier} creation.
*/
public static TextClassifier createFromFile(Context context, String modelPath) {
BaseOptions baseOptions = BaseOptions.builder().setModelAssetPath(modelPath).build();
return createFromOptions(
context, TextClassifierOptions.builder().setBaseOptions(baseOptions).build());
}
/**
* Creates a {@link TextClassifier} instance from a model file and the default {@link
* TextClassifierOptions}.
*
* @param context an Android {@link Context}.
* @param modelFile the text model {@link File} instance.
* @throws IOException if an I/O error occurs when opening the tflite model file.
* @throws MediaPipeException if there is an error during {@link TextClassifier} creation.
*/
public static TextClassifier createFromFile(Context context, File modelFile) throws IOException {
try (ParcelFileDescriptor descriptor =
ParcelFileDescriptor.open(modelFile, ParcelFileDescriptor.MODE_READ_ONLY)) {
BaseOptions baseOptions =
BaseOptions.builder().setModelAssetFileDescriptor(descriptor.getFd()).build();
return createFromOptions(
context, TextClassifierOptions.builder().setBaseOptions(baseOptions).build());
}
}
/**
* Creates a {@link TextClassifier} instance from {@link TextClassifierOptions}.
*
* @param context an Android {@link Context}.
* @param options a {@link TextClassifierOptions} instance.
* @throws MediaPipeException if there is an error during {@link TextClassifier} creation.
*/
public static TextClassifier createFromOptions(Context context, TextClassifierOptions options) {
OutputHandler<TextClassificationResult, Void> handler = new OutputHandler<>();
handler.setOutputPacketConverter(
new OutputHandler.OutputPacketConverter<TextClassificationResult, Void>() {
@Override
public TextClassificationResult convertToTaskResult(List<Packet> packets) {
try {
return TextClassificationResult.create(
PacketGetter.getProto(
packets.get(CLASSIFICATION_RESULT_OUT_STREAM_INDEX),
ClassificationsProto.ClassificationResult.getDefaultInstance()),
packets.get(CLASSIFICATION_RESULT_OUT_STREAM_INDEX).getTimestamp());
} catch (InvalidProtocolBufferException e) {
throw new MediaPipeException(
MediaPipeException.StatusCode.INTERNAL.ordinal(), e.getMessage());
}
}
@Override
public Void convertToTaskInput(List<Packet> packets) {
return null;
}
});
TaskRunner runner =
TaskRunner.create(
context,
TaskInfo.<TextClassifierOptions>builder()
.setTaskGraphName(TASK_GRAPH_NAME)
.setInputStreams(INPUT_STREAMS)
.setOutputStreams(OUTPUT_STREAMS)
.setTaskOptions(options)
.setEnableFlowLimiting(false)
.build(),
handler);
return new TextClassifier(runner);
}
/**
* Constructor to initialize a {@link TextClassifier} from a {@link TaskRunner}.
*
* @param runner a {@link TaskRunner}.
*/
private TextClassifier(TaskRunner runner) {
this.runner = runner;
}
/**
* Performs classification on the input text.
*
* @param inputText a {@link String} for processing.
*/
public TextClassificationResult classify(String inputText) {
Map<String, Packet> inputPackets = new HashMap<>();
inputPackets.put(TEXT_IN_STREAM_NAME, runner.getPacketCreator().createString(inputText));
return (TextClassificationResult) runner.process(inputPackets);
}
/** Closes and cleans up the {@link TextClassifier}. */
@Override
public void close() {
runner.close();
}
/** Options for setting up a {@link TextClassifier}. */
@AutoValue
public abstract static class TextClassifierOptions extends TaskOptions {
/** Builder for {@link TextClassifierOptions}. */
@AutoValue.Builder
public abstract static class Builder {
/** Sets the base options for the text classifier task. */
public abstract Builder setBaseOptions(BaseOptions value);
/**
* Sets the optional {@link ClassifierOptions} controling classification behavior, such as
* score threshold, number of results, etc.
*/
public abstract Builder setClassifierOptions(ClassifierOptions classifierOptions);
public abstract TextClassifierOptions build();
}
abstract BaseOptions baseOptions();
abstract Optional<ClassifierOptions> classifierOptions();
public static Builder builder() {
return new AutoValue_TextClassifier_TextClassifierOptions.Builder();
}
/** Converts a {@link TextClassifierOptions} to a {@link CalculatorOptions} protobuf message. */
@Override
public CalculatorOptions convertToCalculatorOptionsProto() {
BaseOptionsProto.BaseOptions.Builder baseOptionsBuilder =
BaseOptionsProto.BaseOptions.newBuilder();
baseOptionsBuilder.mergeFrom(convertBaseOptionsToProto(baseOptions()));
TextClassifierGraphOptionsProto.TextClassifierGraphOptions.Builder taskOptionsBuilder =
TextClassifierGraphOptionsProto.TextClassifierGraphOptions.newBuilder()
.setBaseOptions(baseOptionsBuilder);
if (classifierOptions().isPresent()) {
taskOptionsBuilder.setClassifierOptions(classifierOptions().get().convertToProto());
}
return CalculatorOptions.newBuilder()
.setExtension(
TextClassifierGraphOptionsProto.TextClassifierGraphOptions.ext,
taskOptionsBuilder.build())
.build();
}
}
}

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@ -0,0 +1,24 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.google.mediapipe.tasks.text.textclassifiertest"
android:versionCode="1"
android:versionName="1.0" >
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
<uses-sdk android:minSdkVersion="24"
android:targetSdkVersion="30" />
<application
android:label="textclassifiertest"
android:name="android.support.multidex.MultiDexApplication"
android:taskAffinity="">
<uses-library android:name="android.test.runner" />
</application>
<instrumentation
android:name="com.google.android.apps.common.testing.testrunner.GoogleInstrumentationTestRunner"
android:targetPackage="com.google.mediapipe.tasks.text.textclassifiertest" />
</manifest>

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@ -0,0 +1,19 @@
# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
package(default_visibility = ["//mediapipe/tasks:internal"])
licenses(["notice"])
# TODO: Enable this in OSS

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@ -0,0 +1,154 @@
// Copyright 2022 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.text.textclassifier;
import static com.google.common.truth.Truth.assertThat;
import static org.junit.Assert.assertThrows;
import androidx.test.core.app.ApplicationProvider;
import androidx.test.ext.junit.runners.AndroidJUnit4;
import com.google.mediapipe.framework.MediaPipeException;
import com.google.mediapipe.tasks.components.containers.Category;
import com.google.mediapipe.tasks.core.BaseOptions;
import com.google.mediapipe.tasks.core.TestUtils;
import com.google.mediapipe.tasks.text.textclassifier.TextClassifier.TextClassifierOptions;
import java.util.Arrays;
import java.util.List;
import org.junit.Test;
import org.junit.runner.RunWith;
/** Test for {@link TextClassifier}/ */
@RunWith(AndroidJUnit4.class)
public class TextClassifierTest {
private static final String BERT_MODEL_FILE = "bert_text_classifier.tflite";
private static final String REGEX_MODEL_FILE =
"test_model_text_classifier_with_regex_tokenizer.tflite";
private static final String STRING_TO_BOOL_MODEL_FILE =
"test_model_text_classifier_bool_output.tflite";
private static final String NEGATIVE_TEXT = "unflinchingly bleak and desperate";
private static final String POSITIVE_TEXT = "it's a charming and often affecting journey";
@Test
public void create_failsWithMissingModel() throws Exception {
String nonExistentFile = "/path/to/non/existent/file";
MediaPipeException exception =
assertThrows(
MediaPipeException.class,
() ->
TextClassifier.createFromFile(
ApplicationProvider.getApplicationContext(), nonExistentFile));
assertThat(exception).hasMessageThat().contains(nonExistentFile);
}
@Test
public void create_failsWithMissingOpResolver() throws Exception {
TextClassifierOptions options =
TextClassifierOptions.builder()
.setBaseOptions(
BaseOptions.builder().setModelAssetPath(STRING_TO_BOOL_MODEL_FILE).build())
.build();
MediaPipeException exception =
assertThrows(
MediaPipeException.class,
() ->
TextClassifier.createFromOptions(
ApplicationProvider.getApplicationContext(), options));
// TODO: Make MediaPipe InferenceCalculator report the detailed.
// interpreter errors (e.g., "Encountered unresolved custom op").
assertThat(exception)
.hasMessageThat()
.contains("interpreter_builder(&interpreter) == kTfLiteOk");
}
@Test
public void classify_succeedsWithBert() throws Exception {
TextClassifier textClassifier =
TextClassifier.createFromFile(ApplicationProvider.getApplicationContext(), BERT_MODEL_FILE);
TextClassificationResult negativeResults = textClassifier.classify(NEGATIVE_TEXT);
assertHasOneHead(negativeResults);
assertCategoriesAre(
negativeResults,
Arrays.asList(
Category.create(0.95630914f, 0, "negative", ""),
Category.create(0.04369091f, 1, "positive", "")));
TextClassificationResult positiveResults = textClassifier.classify(POSITIVE_TEXT);
assertHasOneHead(positiveResults);
assertCategoriesAre(
positiveResults,
Arrays.asList(
Category.create(0.99997187f, 1, "positive", ""),
Category.create(2.8132641E-5f, 0, "negative", "")));
}
@Test
public void classify_succeedsWithFileObject() throws Exception {
TextClassifier textClassifier =
TextClassifier.createFromFile(
ApplicationProvider.getApplicationContext(),
TestUtils.loadFile(ApplicationProvider.getApplicationContext(), BERT_MODEL_FILE));
TextClassificationResult negativeResults = textClassifier.classify(NEGATIVE_TEXT);
assertHasOneHead(negativeResults);
assertCategoriesAre(
negativeResults,
Arrays.asList(
Category.create(0.95630914f, 0, "negative", ""),
Category.create(0.04369091f, 1, "positive", "")));
TextClassificationResult positiveResults = textClassifier.classify(POSITIVE_TEXT);
assertHasOneHead(positiveResults);
assertHasOneHead(positiveResults);
assertCategoriesAre(
positiveResults,
Arrays.asList(
Category.create(0.99997187f, 1, "positive", ""),
Category.create(2.8132641E-5f, 0, "negative", "")));
}
@Test
public void classify_succeedsWithRegex() throws Exception {
TextClassifier textClassifier =
TextClassifier.createFromFile(
ApplicationProvider.getApplicationContext(), REGEX_MODEL_FILE);
TextClassificationResult negativeResults = textClassifier.classify(NEGATIVE_TEXT);
assertHasOneHead(negativeResults);
assertCategoriesAre(
negativeResults,
Arrays.asList(
Category.create(0.6647746f, 0, "Negative", ""),
Category.create(0.33522537f, 1, "Positive", "")));
TextClassificationResult positiveResults = textClassifier.classify(POSITIVE_TEXT);
assertHasOneHead(positiveResults);
assertCategoriesAre(
positiveResults,
Arrays.asList(
Category.create(0.5120041f, 0, "Negative", ""),
Category.create(0.48799595f, 1, "Positive", "")));
}
private static void assertHasOneHead(TextClassificationResult results) {
assertThat(results.classifications()).hasSize(1);
assertThat(results.classifications().get(0).headIndex()).isEqualTo(0);
assertThat(results.classifications().get(0).headName()).isEqualTo("probability");
assertThat(results.classifications().get(0).entries()).hasSize(1);
}
private static void assertCategoriesAre(
TextClassificationResult results, List<Category> categories) {
assertThat(results.classifications().get(0).entries().get(0).categories())
.isEqualTo(categories);
}
}