ml_dataframe library

Classes

DataFrame

An in-memory storage to keep data in column-like manner with human readable headers with possibility to convert the data to pure numeric representation.

Series

A named sequence of values that can be used as a column for the DataFrame.

Constants

defaultHeaderPrefix → const String

Functions

fromCsv(String fileName, {String columnDelimiter = defaultFieldDelimiter, String eol = '\n', bool headerExists = true, Iterable<String> header = const [], String autoHeaderPrefix = defaultHeaderPrefix, Iterable<int> columns = const [], Iterable<String> columnNames = const []}) → Future<DataFrame>

Creates a DataFrame instance from a CSV file

fromJson(String fileName) → Future<DataFrame>

Creates a DataFrame instance from a previously persisted json file

getHousingDataFrame() → DataFrame

Returns a DataFrame instance filled with Boston housing dataset

getIrisDataFrame() → DataFrame

Returns a DataFrame instance filled with Iris dataset

getPimaIndiansDiabetesDataFrame() → DataFrame

Returns a DataFrame instance filled with Pima Indians diabetes dataset

getWineQualityDataFrame() → DataFrame

Returns a DataFrame instance filled with Red Wine Quality dataset

loadIrisDataset() → Future<DataFrame>

Returns a DataFrame instance filled with Iris dataset

loadPimaIndiansDiabetesDataset() → Future<DataFrame>

Returns a DataFrame instance filled with Pima Indians diabetes dataset