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public static final class TablesModelColumnInfo.Builder extends GeneratedMessageV3.Builder<TablesModelColumnInfo.Builder> implements TablesModelColumnInfoOrBuilderAn information specific to given column and Tables Model, in context of the Model and the predictions created by it.
Protobuf type google.cloud.automl.v1beta1.TablesModelColumnInfo
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TablesModelColumnInfo.BuilderImplements
TablesModelColumnInfoOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public TablesModelColumnInfo.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
build()
public TablesModelColumnInfo build()| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo |
|
buildPartial()
public TablesModelColumnInfo buildPartial()| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo |
|
clear()
public TablesModelColumnInfo.Builder clear()| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
clearColumnDisplayName()
public TablesModelColumnInfo.Builder clearColumnDisplayName()Output only. The display name of the column (same as the display_name of its ColumnSpec).
string column_display_name = 2;
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
clearColumnSpecName()
public TablesModelColumnInfo.Builder clearColumnSpecName()Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.
string column_spec_name = 1;
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
clearFeatureImportance()
public TablesModelColumnInfo.Builder clearFeatureImportance()Output only. When given as part of a Model (always populated): Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1.
When given back by Predict (populated iff feature_importance param is set) or Batch Predict (populated iff feature_importance param is set): Measurement of how impactful for the prediction returned for the given row the value in this column was. Specifically, the feature importance specifies the marginal contribution that the feature made to the prediction score compared to the baseline score. These values are computed using the Sampled Shapley method.
float feature_importance = 3;
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public TablesModelColumnInfo.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public TablesModelColumnInfo.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
clone()
public TablesModelColumnInfo.Builder clone()| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
getColumnDisplayName()
public String getColumnDisplayName()Output only. The display name of the column (same as the display_name of its ColumnSpec).
string column_display_name = 2;
| Returns | |
|---|---|
| Type | Description |
String |
The columnDisplayName. |
getColumnDisplayNameBytes()
public ByteString getColumnDisplayNameBytes()Output only. The display name of the column (same as the display_name of its ColumnSpec).
string column_display_name = 2;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for columnDisplayName. |
getColumnSpecName()
public String getColumnSpecName()Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.
string column_spec_name = 1;
| Returns | |
|---|---|
| Type | Description |
String |
The columnSpecName. |
getColumnSpecNameBytes()
public ByteString getColumnSpecNameBytes()Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.
string column_spec_name = 1;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for columnSpecName. |
getDefaultInstanceForType()
public TablesModelColumnInfo getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getFeatureImportance()
public float getFeatureImportance()Output only. When given as part of a Model (always populated): Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1.
When given back by Predict (populated iff feature_importance param is set) or Batch Predict (populated iff feature_importance param is set): Measurement of how impactful for the prediction returned for the given row the value in this column was. Specifically, the feature importance specifies the marginal contribution that the feature made to the prediction score compared to the baseline score. These values are computed using the Sampled Shapley method.
float feature_importance = 3;
| Returns | |
|---|---|
| Type | Description |
float |
The featureImportance. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(TablesModelColumnInfo other)
public TablesModelColumnInfo.Builder mergeFrom(TablesModelColumnInfo other)| Parameter | |
|---|---|
| Name | Description |
other |
TablesModelColumnInfo |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TablesModelColumnInfo.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public TablesModelColumnInfo.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TablesModelColumnInfo.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
setColumnDisplayName(String value)
public TablesModelColumnInfo.Builder setColumnDisplayName(String value)Output only. The display name of the column (same as the display_name of its ColumnSpec).
string column_display_name = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe columnDisplayName to set. |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
setColumnDisplayNameBytes(ByteString value)
public TablesModelColumnInfo.Builder setColumnDisplayNameBytes(ByteString value)Output only. The display name of the column (same as the display_name of its ColumnSpec).
string column_display_name = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for columnDisplayName to set. |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
setColumnSpecName(String value)
public TablesModelColumnInfo.Builder setColumnSpecName(String value)Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.
string column_spec_name = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe columnSpecName to set. |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
setColumnSpecNameBytes(ByteString value)
public TablesModelColumnInfo.Builder setColumnSpecNameBytes(ByteString value)Output only. The name of the ColumnSpec describing the column. Not populated when this proto is outputted to BigQuery.
string column_spec_name = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for columnSpecName to set. |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
setFeatureImportance(float value)
public TablesModelColumnInfo.Builder setFeatureImportance(float value)Output only. When given as part of a Model (always populated): Measurement of how much model predictions correctness on the TEST data depend on values in this column. A value between 0 and 1, higher means higher influence. These values are normalized - for all input feature columns of a given model they add to 1.
When given back by Predict (populated iff feature_importance param is set) or Batch Predict (populated iff feature_importance param is set): Measurement of how impactful for the prediction returned for the given row the value in this column was. Specifically, the feature importance specifies the marginal contribution that the feature made to the prediction score compared to the baseline score. These values are computed using the Sampled Shapley method.
float feature_importance = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
floatThe featureImportance to set. |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public TablesModelColumnInfo.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public TablesModelColumnInfo.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final TablesModelColumnInfo.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
TablesModelColumnInfo.Builder |
|