Uses of Package
ai.redouble.demo.pricing

Packages that use ai.redouble.demo.pricing
  • Class
    Description
    What the price extractor sees: one document's path, for the model to reason about the kind of document it is, and the text the extractor produced for it.
    What the reconciliation produced: the products, and the mentions it could not use.
    One mention with where it came from and the date its document carries.
    One price a document states, as the model reads it: what it is for, who pays it, what kind of statement it is, and the dates the document attaches to it.
     
     
    What the model answers for one document: the date the document carries as a whole, and every price it states.
    One mention placed in a product's history: the amount, the date it ranks by, where it came from, and the status the reconciliation gave it.
     
    One product's prices for one audience in one currency, ranked by date: the current price when the documents settle one, and every point that competed for it or was set aside, newest first.
     
    What the pricing run found: every product with its current price per audience and currency and the history behind it, the costs the documents state, the mentions the arithmetic could not use, one row per document read, and what the run spent.
    One document's row: what reading it produced and cost.
     
    A run of the pricing demo over the last extraction: the spend the run may commit, one cap per currency, the same way the extractor is capped, and the day the run answers for.
    What the canonicalizer answers: the names grouped by the product they name, each group under one canonical name.
    One product and every name the documents used for it.
    What the canonicalizer sees: every distinct product name the documents used, as they used it.
    Everything the documents say about one product's money: its series per audience and currency, what it costs the company, and whether it is still sold.
  • Class
    Description
    What the pricing run found: every product with its current price per audience and currency and the history behind it, the costs the documents state, the mentions the arithmetic could not use, one row per document read, and what the run spent.
    A run of the pricing demo over the last extraction: the spend the run may commit, one cap per currency, the same way the extractor is capped, and the day the run answers for.
  • Class
    Description
    What the pricing run found: every product with its current price per audience and currency and the history behind it, the costs the documents state, the mentions the arithmetic could not use, one row per document read, and what the run spent.
    A run of the pricing demo over the last extraction: the spend the run may commit, one cap per currency, the same way the extractor is capped, and the day the run answers for.