MediaIndexSparseFloatVector

AI Overview😉

  • The potential purpose of this module is to efficiently store and process sparse numerical data, such as vectors or matrices, in a compact format. This allows for faster processing and comparison of data, which is important in search algorithms.
  • This module could impact search results by enabling more accurate and efficient calculations of relevance and ranking scores. This could lead to more precise search results, as the algorithm can better understand the relationships between different pieces of data. Additionally, the accelerated parsing of fixed integers could improve the speed of search result generation.
  • To be more favorable for this function, a website could ensure that its structured data is well-organized, consistent, and follows a logical format. This would allow the search algorithm to more easily parse and process the data, making it more likely to be accurately indexed and ranked. Additionally, using standardized formats for numerical data, such as integers or floats, could help the algorithm to better understand the data and improve search result relevance.

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GoogleApi.ContentWarehouse.V1.Model.MediaIndexSparseFloatVector (google_api_content_warehouse v0.4.0)

Attributes

  • columns (type: list(String.t), default: nil) - Parallel arrays of column / value. Exactly one of those columns vector should be set. Columns must be in monotonically increasing order.
  • columnsInt16 (type: String.t, default: nil) -
  • columnsInt32 (type: list(integer()), default: nil) -
  • columnsInt64 (type: list(String.t), default: nil) - Columns are fixed integers, used for accelerated parse.
  • columnsInt8 (type: String.t, default: nil) -
  • values (type: list(number()), default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.MediaIndexSparseFloatVector{
  columns: [String.t()] | nil,
  columnsInt16: String.t() | nil,
  columnsInt32: [integer()] | nil,
  columnsInt64: [String.t()] | nil,
  columnsInt8: String.t() | nil,
  values: [number()] | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.