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v3.3.0

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@anthonyroux anthonyroux released this 15 Feb 02:00
· 331 commits to master since this release

Add support for the Flight Offers Search

The Flight Offers Search API is a flight search API that returns cheap flights between two airports for a given number of passengers and for a given date or date range. The API returns airline name, price and fare details, as well as additional information like baggage allowance, prices for additional baggage and departure terminal.

Add support for the AI-Generated Photos

The AI-Generated Photos API returns a link to download a rendered image of a landscape. The image size is 512x512 pixels and the currently available image categories are BEACH and MOUNTAIN. The link to download the AI-generated picture is valid for 24 hours. This API is an experimental project created by the Amadeus AI Lab using the Nvidia StyleGAN framework. This API is free to use and we welcome any feedback you may have about improvements.

Add support for the Flight Delay Prediction

The Flight Delay Prediction API returns the probability that a given flight will be delayed by four possible delay lengths: less than 30 minutes, 30-60 minutes, 60-120 minutes and over 120 minutes/cancellation. The API receives flight information and applies a machine-learning model trained with Amadeus historical data to determine the probability of flight delay.

Add support for the Airport On-Time Performance

The Airport On-Time Performance API returns the estimated percentage of on-time flight departures for a given airport and date. The API receives the 3-letter IATA airport code and departure date and applies a machine-learning model trained with Amadeus historical data to estimate the overall airport on-time performance. This API is currently in beta and only returns accurate data for airports located in the U.S.

Add support for the Trip Purpose Prediction

The Trip Purpose Prediction API returns the probability of whether a round-trip flight itinerary is for business or leisure travel. The API takes flight dates, departure city, and arrival city and then applies a machine-learning model trained with Amadeus historical data to determine the probability that the itinerary is for business or leisure travel. This API is useful for gaining insight and optimizing the search and shopping experience.