LinearRegressor.fromJson constructor

Restores previously fitted LinearRegressor instance from the json

import 'dart:io';
import 'package:ml_dataframe/ml_dataframe.dart';

final data = <Iterable>[
  ['feature 1', 'feature 2', 'feature 3', 'outcome']
  [        5.0,         7.0,         6.0,      98.0],
  [        1.0,         2.0,         3.0,      10.0],
  [       10.0,        12.0,        31.0,    -977.0],
  [        9.0,         8.0,         5.0,       0.0],
  [        4.0,         0.0,         1.0,       6.0],
];
final targetName = 'outcome';
final samples = DataFrame(data, headerExists: true);
final regressor = LinearRegressor(
  samples,
  targetName,
  iterationsLimit: 2,
  learningRateType: LearningRateType.constant,
  initialLearningRate: 1.0,
  batchSize: 5,
  fitIntercept: true,
  interceptScale: 3.0,
);

final pathToFile = './classifier.json';

await regressor.saveAsJson(pathToFile);

final file = File(pathToFile);
final json = await file.readAsString();
final restoredRegressor = LinearRegressor.fromJson(json);

// here you can use previously fitted restored regressor to make
// some prediction, e.g. via `restoredRegressor.predict(...)`;

Implementation

LinearRegressor class