public static final class RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder extends GeneratedMessage.Builder<RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder> implements RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25OrBuilderMessage for BM25 parameters.
Protobuf type
google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
build()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 build()| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 |
|
buildPartial()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 buildPartial()| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 |
|
clear()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder clear()| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
|
clearB()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder clearB()Optional. The parameter to control document length normalization. It determines how much the document length affects the final score. b is in the range of [0, 1]. The default value is 0.75.
optional float b = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |
clearK1()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder clearK1()Optional. The parameter to control term frequency saturation. It determines the scaling between the matching term frequency and final score. k1 is in the range of [1.2, 3]. The default value is 1.2.
optional float k1 = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |
clearMultilingual()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder clearMultilingual()Optional. Use multilingual tokenizer if set to true.
bool multilingual = 1 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |
getB()
public float getB()Optional. The parameter to control document length normalization. It determines how much the document length affects the final score. b is in the range of [0, 1]. The default value is 0.75.
optional float b = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
float |
The b. |
getDefaultInstanceForType()
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getK1()
public float getK1()Optional. The parameter to control term frequency saturation. It determines the scaling between the matching term frequency and final score. k1 is in the range of [1.2, 3]. The default value is 1.2.
optional float k1 = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
float |
The k1. |
getMultilingual()
public boolean getMultilingual()Optional. Use multilingual tokenizer if set to true.
bool multilingual = 1 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
The multilingual. |
hasB()
public boolean hasB()Optional. The parameter to control document length normalization. It determines how much the document length affects the final score. b is in the range of [0, 1]. The default value is 0.75.
optional float b = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the b field is set. |
hasK1()
public boolean hasK1()Optional. The parameter to control term frequency saturation. It determines the scaling between the matching term frequency and final score. k1 is in the range of [1.2, 3]. The default value is 1.2.
optional float k1 = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the k1 field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 other)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder mergeFrom(RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 other)| Parameter | |
|---|---|
| Name | Description |
other |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25 |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
|
setB(float value)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder setB(float value)Optional. The parameter to control document length normalization. It determines how much the document length affects the final score. b is in the range of [0, 1]. The default value is 0.75.
optional float b = 3 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
floatThe b to set. |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |
setK1(float value)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder setK1(float value)Optional. The parameter to control term frequency saturation. It determines the scaling between the matching term frequency and final score. k1 is in the range of [1.2, 3]. The default value is 1.2.
optional float k1 = 2 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
floatThe k1 to set. |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |
setMultilingual(boolean value)
public RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder setMultilingual(boolean value)Optional. Use multilingual tokenizer if set to true.
bool multilingual = 1 [(.google.api.field_behavior) = OPTIONAL];
| Parameter | |
|---|---|
| Name | Description |
value |
booleanThe multilingual to set. |
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig.SparseEmbeddingConfig.Bm25.Builder |
This builder for chaining. |