Attribution that explains a particular prediction output.
def approximation_error() -> ::Float
(::Float) — Output only. Error of
- For Sampled Shapley , increasing might reduce the error.
- For Integrated Gradients , increasing might reduce the error.
- For , increasing might reduce the error.
See this introduction for more information.
caused by approximation used in the
explanation method. Lower value means more precise attributions.
def baseline_output_value() -> ::Float
(::Float) — Output only. Model predicted output if the input instance is constructed from the
baselines of all the features defined in
If the Model's predicted output has multiple dimensions (rank > 1), this is the value in the output located by.
If there are multiple baselines, their output values are averaged.
The field name of the output is determined by the key in
def feature_attributions() -> ::Google::Protobuf::Value
(::Google::Protobuf::Value) — Output only. Attributions of each explained feature. Features are extracted from
the according to
The value is a struct, whose keys are the name of the feature. The values are how much the feature in thecontributed to the predicted result.
The format of the value is determined by the feature's input format:
If the feature is a scalar value, the attribution value is a.
If the feature is an array of scalar values, the attribution value is an.
If the feature is a struct, the attribution value is a. The keys in the attribution value struct are the same as the keys in the feature struct. The formats of the values in the attribution struct are determined by the formats of the values in the feature struct.
Thefield, pointed to by the field of the object, points to the schema file that describes the features and their attribution values (if it is populated).
def instance_output_value() -> ::Float
(::Float) — Output only. Model predicted output on the corresponding [explanation
instance][ExplainRequest.instances]. The field name of the output is
determined by the key in
If the Model predicted output has multiple dimensions, this is the value in the output located by.
def output_display_name() -> ::String
(::String) — Output only. The display name of the output identified by
This field is only populated iff the Model predicts display names as a separate field along with the explained output. The predicted display name must has the same shape of the explained output, and can be located using output_index.
. For example,
the predicted class name by a multi-classification Model.
def output_index() -> ::Array<::Integer>
(::Array<::Integer>) — Output only. The index that locates the explained prediction output.
If the prediction output is a scalar value, output_index is not populated. If the prediction output has multiple dimensions, the length of the output_index list is the same as the number of dimensions of the output. The i-th element in output_index is the element index of the i-th dimension of the output vector. Indices start from 0.
def output_name() -> ::String
- (::String) — Output only. Name of the explain output. Specified as the key in .