
com.tencentcloudapi.nlp.v20190408.models.WordEmbeddingResponse Maven / Gradle / Ivy
/*
* Copyright (c) 2017-2018 THL A29 Limited, a Tencent company. 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.tencentcloudapi.nlp.v20190408.models;
import com.tencentcloudapi.common.AbstractModel;
import com.google.gson.annotations.SerializedName;
import com.google.gson.annotations.Expose;
import java.util.HashMap;
public class WordEmbeddingResponse extends AbstractModel{
/**
* 词向量数组
*/
@SerializedName("Vector")
@Expose
private Float [] Vector;
/**
* 词向量的维度
*/
@SerializedName("Dimension")
@Expose
private Long Dimension;
/**
* 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
*/
@SerializedName("RequestId")
@Expose
private String RequestId;
/**
* Get 词向量数组
* @return Vector 词向量数组
*/
public Float [] getVector() {
return this.Vector;
}
/**
* Set 词向量数组
* @param Vector 词向量数组
*/
public void setVector(Float [] Vector) {
this.Vector = Vector;
}
/**
* Get 词向量的维度
* @return Dimension 词向量的维度
*/
public Long getDimension() {
return this.Dimension;
}
/**
* Set 词向量的维度
* @param Dimension 词向量的维度
*/
public void setDimension(Long Dimension) {
this.Dimension = Dimension;
}
/**
* Get 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
* @return RequestId 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
*/
public String getRequestId() {
return this.RequestId;
}
/**
* Set 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
* @param RequestId 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
*/
public void setRequestId(String RequestId) {
this.RequestId = RequestId;
}
public WordEmbeddingResponse() {
}
/**
* NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy,
* and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
*/
public WordEmbeddingResponse(WordEmbeddingResponse source) {
if (source.Vector != null) {
this.Vector = new Float[source.Vector.length];
for (int i = 0; i < source.Vector.length; i++) {
this.Vector[i] = new Float(source.Vector[i]);
}
}
if (source.Dimension != null) {
this.Dimension = new Long(source.Dimension);
}
if (source.RequestId != null) {
this.RequestId = new String(source.RequestId);
}
}
/**
* Internal implementation, normal users should not use it.
*/
public void toMap(HashMap map, String prefix) {
this.setParamArraySimple(map, prefix + "Vector.", this.Vector);
this.setParamSimple(map, prefix + "Dimension", this.Dimension);
this.setParamSimple(map, prefix + "RequestId", this.RequestId);
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy