* FeatureMap represents extra features that customers want to include in the * recommendation model for catalogs/user events as categorical/numerical * features. ** * Protobuf type {@code google.cloud.recommendationengine.v1beta1.FeatureMap} */ public final class FeatureMap extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:google.cloud.recommendationengine.v1beta1.FeatureMap) FeatureMapOrBuilder { private static final long serialVersionUID = 0L; // Use FeatureMap.newBuilder() to construct. private FeatureMap(com.google.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private FeatureMap() {} @java.lang.Override @SuppressWarnings({"unused"}) protected java.lang.Object newInstance(UnusedPrivateParameter unused) { return new FeatureMap(); } @java.lang.Override public final com.google.protobuf.UnknownFieldSet getUnknownFields() { return this.unknownFields; } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.recommendationengine.v1beta1.Common .internal_static_google_cloud_recommendationengine_v1beta1_FeatureMap_descriptor; } @SuppressWarnings({"rawtypes"}) @java.lang.Override protected com.google.protobuf.MapField internalGetMapField(int number) { switch (number) { case 1: return internalGetCategoricalFeatures(); case 2: return internalGetNumericalFeatures(); default: throw new RuntimeException("Invalid map field number: " + number); } } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.recommendationengine.v1beta1.Common .internal_static_google_cloud_recommendationengine_v1beta1_FeatureMap_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.recommendationengine.v1beta1.FeatureMap.class, com.google.cloud.recommendationengine.v1beta1.FeatureMap.Builder.class); } public interface StringListOrBuilder extends // @@protoc_insertion_point(interface_extends:google.cloud.recommendationengine.v1beta1.FeatureMap.StringList) com.google.protobuf.MessageOrBuilder { /** * * *
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java.util.List
* String feature value with a length limit of 128 bytes.
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*
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*/
int getValueCount();
/**
*
*
*
* String feature value with a length limit of 128 bytes.
*
*
* repeated string value = 1;
*
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* @return The value at the given index.
*/
java.lang.String getValue(int index);
/**
*
*
*
* String feature value with a length limit of 128 bytes.
*
*
* repeated string value = 1;
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com.google.protobuf.ByteString getValueBytes(int index);
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*
*
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value_.add(value);
onChanged();
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* Float feature value.
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java.util.List
* Float feature value.
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*
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* Float feature value.
*
*
* repeated float value = 1;
*
* @return This builder for chaining.
*/
public Builder clearValue() {
value_ = emptyFloatList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList)
}
// @@protoc_insertion_point(class_scope:google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList)
private static final com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList();
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public boolean containsCategoricalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetCategoricalFeatures().getMap().containsKey(key);
}
/** Use {@link #getCategoricalFeaturesMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
getCategoricalFeatures() {
return getCategoricalFeaturesMap();
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
getCategoricalFeaturesMap() {
return internalGetCategoricalFeatures().getMap();
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public /* nullable */ com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList
getCategoricalFeaturesOrDefault(
java.lang.String key,
/* nullable */
com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
map = internalGetCategoricalFeatures().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList
getCategoricalFeaturesOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
map = internalGetCategoricalFeatures().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public static final int NUMERICAL_FEATURES_FIELD_NUMBER = 2;
private static final class NumericalFeaturesDefaultEntryHolder {
static final com.google.protobuf.MapEntry<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
defaultEntry =
com.google.protobuf.MapEntry
.
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public boolean containsNumericalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetNumericalFeatures().getMap().containsKey(key);
}
/** Use {@link #getNumericalFeaturesMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
getNumericalFeatures() {
return getNumericalFeaturesMap();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
getNumericalFeaturesMap() {
return internalGetNumericalFeatures().getMap();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public /* nullable */ com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
getNumericalFeaturesOrDefault(
java.lang.String key,
/* nullable */
com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
map = internalGetNumericalFeatures().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
getNumericalFeaturesOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
map = internalGetNumericalFeatures().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
output,
internalGetCategoricalFeatures(),
CategoricalFeaturesDefaultEntryHolder.defaultEntry,
1);
com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
output,
internalGetNumericalFeatures(),
NumericalFeaturesDefaultEntryHolder.defaultEntry,
2);
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
for (java.util.Map.Entry<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
entry : internalGetCategoricalFeatures().getMap().entrySet()) {
com.google.protobuf.MapEntry<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
categoricalFeatures__ =
CategoricalFeaturesDefaultEntryHolder.defaultEntry
.newBuilderForType()
.setKey(entry.getKey())
.setValue(entry.getValue())
.build();
size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, categoricalFeatures__);
}
for (java.util.Map.Entry<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
entry : internalGetNumericalFeatures().getMap().entrySet()) {
com.google.protobuf.MapEntry<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
numericalFeatures__ =
NumericalFeaturesDefaultEntryHolder.defaultEntry
.newBuilderForType()
.setKey(entry.getKey())
.setValue(entry.getValue())
.build();
size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, numericalFeatures__);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.recommendationengine.v1beta1.FeatureMap)) {
return super.equals(obj);
}
com.google.cloud.recommendationengine.v1beta1.FeatureMap other =
(com.google.cloud.recommendationengine.v1beta1.FeatureMap) obj;
if (!internalGetCategoricalFeatures().equals(other.internalGetCategoricalFeatures()))
return false;
if (!internalGetNumericalFeatures().equals(other.internalGetNumericalFeatures())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (!internalGetCategoricalFeatures().getMap().isEmpty()) {
hash = (37 * hash) + CATEGORICAL_FEATURES_FIELD_NUMBER;
hash = (53 * hash) + internalGetCategoricalFeatures().hashCode();
}
if (!internalGetNumericalFeatures().getMap().isEmpty()) {
hash = (37 * hash) + NUMERICAL_FEATURES_FIELD_NUMBER;
hash = (53 * hash) + internalGetNumericalFeatures().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.recommendationengine.v1beta1.FeatureMap prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
* * FeatureMap represents extra features that customers want to include in the * recommendation model for catalogs/user events as categorical/numerical * features. ** * Protobuf type {@code google.cloud.recommendationengine.v1beta1.FeatureMap} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public boolean containsCategoricalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetCategoricalFeatures().getMap().containsKey(key);
}
/** Use {@link #getCategoricalFeaturesMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
getCategoricalFeatures() {
return getCategoricalFeaturesMap();
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
getCategoricalFeaturesMap() {
return internalGetCategoricalFeatures().getMap();
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public /* nullable */ com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList
getCategoricalFeaturesOrDefault(
java.lang.String key,
/* nullable */
com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
map = internalGetCategoricalFeatures().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
@java.lang.Override
public com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList
getCategoricalFeaturesOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
map = internalGetCategoricalFeatures().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearCategoricalFeatures() {
bitField0_ = (bitField0_ & ~0x00000001);
internalGetMutableCategoricalFeatures().getMutableMap().clear();
return this;
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
public Builder removeCategoricalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableCategoricalFeatures().getMutableMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
getMutableCategoricalFeatures() {
bitField0_ |= 0x00000001;
return internalGetMutableCategoricalFeatures().getMutableMap();
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
public Builder putCategoricalFeatures(
java.lang.String key,
com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableCategoricalFeatures().getMutableMap().put(key, value);
bitField0_ |= 0x00000001;
return this;
}
/**
*
*
*
* Categorical features that can take on one of a limited number of possible
* values. Some examples would be the brand/maker of a product, or country of
* a customer.
* Feature names and values must be UTF-8 encoded strings.
* For example: `{ "colors": {"value": ["yellow", "green"]},
* "sizes": {"value":["S", "M"]}`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.StringList> categorical_features = 1;
*
*/
public Builder putAllCategoricalFeatures(
java.util.Map<
java.lang.String,
com.google.cloud.recommendationengine.v1beta1.FeatureMap.StringList>
values) {
internalGetMutableCategoricalFeatures().getMutableMap().putAll(values);
bitField0_ |= 0x00000001;
return this;
}
private com.google.protobuf.MapField<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
numericalFeatures_;
private com.google.protobuf.MapField<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
internalGetNumericalFeatures() {
if (numericalFeatures_ == null) {
return com.google.protobuf.MapField.emptyMapField(
NumericalFeaturesDefaultEntryHolder.defaultEntry);
}
return numericalFeatures_;
}
private com.google.protobuf.MapField<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
internalGetMutableNumericalFeatures() {
if (numericalFeatures_ == null) {
numericalFeatures_ =
com.google.protobuf.MapField.newMapField(
NumericalFeaturesDefaultEntryHolder.defaultEntry);
}
if (!numericalFeatures_.isMutable()) {
numericalFeatures_ = numericalFeatures_.copy();
}
bitField0_ |= 0x00000002;
onChanged();
return numericalFeatures_;
}
public int getNumericalFeaturesCount() {
return internalGetNumericalFeatures().getMap().size();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public boolean containsNumericalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetNumericalFeatures().getMap().containsKey(key);
}
/** Use {@link #getNumericalFeaturesMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
getNumericalFeatures() {
return getNumericalFeaturesMap();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
getNumericalFeaturesMap() {
return internalGetNumericalFeatures().getMap();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public /* nullable */ com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
getNumericalFeaturesOrDefault(
java.lang.String key,
/* nullable */
com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
map = internalGetNumericalFeatures().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
@java.lang.Override
public com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList
getNumericalFeaturesOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
map = internalGetNumericalFeatures().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearNumericalFeatures() {
bitField0_ = (bitField0_ & ~0x00000002);
internalGetMutableNumericalFeatures().getMutableMap().clear();
return this;
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
public Builder removeNumericalFeatures(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableNumericalFeatures().getMutableMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map<
java.lang.String, com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
getMutableNumericalFeatures() {
bitField0_ |= 0x00000002;
return internalGetMutableNumericalFeatures().getMutableMap();
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
public Builder putNumericalFeatures(
java.lang.String key,
com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableNumericalFeatures().getMutableMap().put(key, value);
bitField0_ |= 0x00000002;
return this;
}
/**
*
*
*
* Numerical features. Some examples would be the height/weight of a product,
* or age of a customer.
* Feature names must be UTF-8 encoded strings.
* For example: `{ "lengths_cm": {"value":[2.3, 15.4]},
* "heights_cm": {"value":[8.1, 6.4]} }`
*
*
*
* map<string, .google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList> numerical_features = 2;
*
*/
public Builder putAllNumericalFeatures(
java.util.Map<
java.lang.String,
com.google.cloud.recommendationengine.v1beta1.FeatureMap.FloatList>
values) {
internalGetMutableNumericalFeatures().getMutableMap().putAll(values);
bitField0_ |= 0x00000002;
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.recommendationengine.v1beta1.FeatureMap)
}
// @@protoc_insertion_point(class_scope:google.cloud.recommendationengine.v1beta1.FeatureMap)
private static final com.google.cloud.recommendationengine.v1beta1.FeatureMap DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.recommendationengine.v1beta1.FeatureMap();
}
public static com.google.cloud.recommendationengine.v1beta1.FeatureMap getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser