README
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Bird Data Estimation
Given a bird's latin and english names, scrape the web to try to ascertain the association of the bird with several properties:
- what do they eat?
- where do they live?
- what type of nests do they build?
- what is their average wingspan?
- how many eggs do they typically lay?
- what is a fun fact about them?
This repository answers these questions by scraping several sites, mostly attempting regex searches and phrase extractions.
Output is produced alongside a chain of atributions that cites to the pages that sourced the information, and how they were combined to produce the final result.
This project has required me to spin off many of the sub-problems as reusable repos. That is a good thing, but makes versioning these much trickier. For now, since this code isn't ready for other people to look at, I just recommend waiting for it to be finished. :)
Documentation
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Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type BirdData ¶
type BirdData struct {
Name bird.BirdName
// Precice Properties
Wingspan *inference.Float64Range
ClutchSize *inference.IntRange
EggColor *inference.String
FunFact *inference.String
// Scored Properties (affinity measure)
// Food
WheatScore *inference.Float64
WormScore *inference.Float64
BerryScore *inference.Float64
MouseScore *inference.Float64
FishScore *inference.Float64
NectarScore *inference.Float64
// Habitat
ForestScore *inference.Float64
GrassScore *inference.Float64
WaterScore *inference.Float64
// Nest Type
CupScore *inference.Float64
GroundScore *inference.Float64
PlatformScore *inference.Float64
CavityScore *inference.Float64
// Behavior
FlockingScore *inference.Float64
PredatorScore *inference.Float64
}
Source Files
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