Output only. Feature attributions grouped by predicted outputs.
For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
Attribution.output_index
can be used to identify which output this attribution is explaining.
If users set
ExplanationParameters.top_k,
the attributions are sorted by
instance_output_value in descending
order. If
ExplanationParameters.output_indices
is specified, the attributions are stored by
Attribution.output_index
in the same order as they appear in the output_indices.
Output only. Feature attributions grouped by predicted outputs.
For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
Attribution.output_index
can be used to identify which output this attribution is explaining.
If users set
ExplanationParameters.top_k,
the attributions are sorted by
instance_output_value in descending
order. If
ExplanationParameters.output_indices
is specified, the attributions are stored by
Attribution.output_index
in the same order as they appear in the output_indices.
Output only. Feature attributions grouped by predicted outputs.
For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
Attribution.output_index
can be used to identify which output this attribution is explaining.
If users set
ExplanationParameters.top_k,
the attributions are sorted by
instance_output_value in descending
order. If
ExplanationParameters.output_indices
is specified, the attributions are stored by
Attribution.output_index
in the same order as they appear in the output_indices.
Output only. Feature attributions grouped by predicted outputs.
For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
Attribution.output_index
can be used to identify which output this attribution is explaining.
If users set
ExplanationParameters.top_k,
the attributions are sorted by
instance_output_value in descending
order. If
ExplanationParameters.output_indices
is specified, the attributions are stored by
Attribution.output_index
in the same order as they appear in the output_indices.
Output only. Feature attributions grouped by predicted outputs.
For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
Attribution.output_index
can be used to identify which output this attribution is explaining.
If users set
ExplanationParameters.top_k,
the attributions are sorted by
instance_output_value in descending
order. If
ExplanationParameters.output_indices
is specified, the attributions are stored by
Attribution.output_index
in the same order as they appear in the output_indices.
Output only. List of the nearest neighbors for example-based explanations.
For models deployed with the examples explanations feature enabled, the
attributions field is empty and instead the neighbors field is populated.
Output only. List of the nearest neighbors for example-based explanations.
For models deployed with the examples explanations feature enabled, the
attributions field is empty and instead the neighbors field is populated.
Output only. List of the nearest neighbors for example-based explanations.
For models deployed with the examples explanations feature enabled, the
attributions field is empty and instead the neighbors field is populated.
Output only. List of the nearest neighbors for example-based explanations.
For models deployed with the examples explanations feature enabled, the
attributions field is empty and instead the neighbors field is populated.
Output only. List of the nearest neighbors for example-based explanations.
For models deployed with the examples explanations feature enabled, the
attributions field is empty and instead the neighbors field is populated.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-28 UTC."],[],[]]
