gleam_synapses/codec
This namespace contains functions that are related to data-point encodeing and decoding.
One hot encoding is a process that turns discrete attributes into a list of 0.0 and 1.0. Minmax normalization scales continuous attributes into values between 0.0 and 1.0.
Types
Functions
pub fn decode(
codec: ZList(Attribute),
encoded_values: List(Float),
) -> Dict(String, String)Accepts the encoded_values as a list of numbers between 0.0 and 1.0
and returns the decoded data point as a map of strings.
cdc
|> codec.decode([0.0, 1.0, 0.0])
|> dict.to_list
[#("petal_length", "1.5"), #("species","setosa")]
pub fn encode(
codec: ZList(Attribute),
data_point: Dict(String, String),
) -> List(Float)Accepts the data_point as a map of strings and returns the encoded data point
as a list of float numbers between 0.0 and 1.0.
codec.encode(cdc, setosa)
[0.0, 1.0, 0.0]
pub fn new(
attributes: List(#(String, Bool)),
data_points: Iterator(Dict(String, String)),
) -> ZList(Attribute)Creates a codec that can encode and decode every data point.
attributes is a list of pairs that define the name and the type (discrete or not) of each attribute.
let attributes = [#("petal_length", False), #("species", True)]
let setosa = dict.from_list([#("petal_length", "1.5"), #("species","setosa")])
let versicolor = dict.from_list([#("petal_length", "3.8"), #("species","versicolor")])
let data_points = iterator.from_list([setosa, versicolor])
let cdc = codec.new(attributes, data_points)