Interface TablesAnnotationOrBuilder (2.37.0)

public interface TablesAnnotationOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBaselineScore()

public abstract float getBaselineScore()

Output only. Stores the prediction score for the baseline example, which is defined as the example with all values set to their baseline values. This is used as part of the Sampled Shapley explanation of the model's prediction. This field is populated only when feature importance is requested. For regression models, this holds the baseline prediction for the baseline example. For classification models, this holds the baseline prediction for the baseline example for the argmax class.

float baseline_score = 5;

Returns
Type	Description
`float`	The baselineScore.

getPredictionInterval()

public abstract DoubleRange getPredictionInterval()

Output only. Only populated when

target_column_spec has FLOAT64 data type. An interval in which the exactly correct target value has 95% chance to be in.

.google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

Returns
Type	Description
`DoubleRange`	The predictionInterval.

getPredictionIntervalOrBuilder()

public abstract DoubleRangeOrBuilder getPredictionIntervalOrBuilder()

Output only. Only populated when

target_column_spec has FLOAT64 data type. An interval in which the exactly correct target value has 95% chance to be in.

.google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

Returns
Type	Description
`DoubleRangeOrBuilder`

getScore()

public abstract float getScore()

Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher value means greater confidence in the returned value. For

target_column_spec of FLOAT64 data type the score is not populated.

float score = 1;

Returns
Type	Description
`float`	The score.

getTablesModelColumnInfo(int index)

public abstract TablesModelColumnInfo getTablesModelColumnInfo(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`TablesModelColumnInfo`

getTablesModelColumnInfoCount()

public abstract int getTablesModelColumnInfoCount()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
`int`

getTablesModelColumnInfoList()

public abstract List<TablesModelColumnInfo> getTablesModelColumnInfoList()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
`List<TablesModelColumnInfo>`

getTablesModelColumnInfoOrBuilder(int index)

public abstract TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`TablesModelColumnInfoOrBuilder`

getTablesModelColumnInfoOrBuilderList()

public abstract List<? extends TablesModelColumnInfoOrBuilder> getTablesModelColumnInfoOrBuilderList()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
`List<? extends com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>`

getValue()

public abstract Value getValue()

The predicted value of the row's

target_column. The value depends on the column's DataType:

CATEGORY - the predicted (with the above confidence score) CATEGORY value.
FLOAT64 - the predicted (with above prediction_interval) FLOAT64 value.

.google.protobuf.Value value = 2;

Returns
Type	Description
`Value`	The value.

getValueOrBuilder()

public abstract ValueOrBuilder getValueOrBuilder()

The predicted value of the row's

target_column. The value depends on the column's DataType:

CATEGORY - the predicted (with the above confidence score) CATEGORY value.
FLOAT64 - the predicted (with above prediction_interval) FLOAT64 value.

.google.protobuf.Value value = 2;

Returns
Type	Description
`ValueOrBuilder`

hasPredictionInterval()

public abstract boolean hasPredictionInterval()

Output only. Only populated when

target_column_spec has FLOAT64 data type. An interval in which the exactly correct target value has 95% chance to be in.

.google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

Returns
Type	Description
`boolean`	Whether the predictionInterval field is set.

hasValue()

public abstract boolean hasValue()

The predicted value of the row's

target_column. The value depends on the column's DataType:

CATEGORY - the predicted (with the above confidence score) CATEGORY value.
FLOAT64 - the predicted (with above prediction_interval) FLOAT64 value.

.google.protobuf.Value value = 2;

Returns
Type	Description
`boolean`	Whether the value field is set.