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e2e tests: more stable tests for LinearRegressor (#240)
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CHANGELOG.md

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# Changelog
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## 16.17.1
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- e2e tests:
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- more stable tests for LinearRegressor
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## 16.17.0
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- LogisticRegressor:
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- Newton method added

analysis_options.yaml

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include: package:pedantic/analysis_options.yaml
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linter:
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rules:
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non_constant_identifier_names: false
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analyzer:
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strong-mode:
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implicit-casts: false

e2e/linear_regressor/linear_regressor_newton_test.dart

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import 'package:test/test.dart';
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num trainHousingModel(MetricType metricType, DType dtype) {
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final data = getHousingDataFrame().shuffle();
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final data = getHousingDataFrame().shuffle(seed: 10);
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final samples = splitData(data, [0.8]);
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final trainSamples = samples.first;
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final testSamples = samples.last;
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}
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num trainWineModel(MetricType metricType, DType dtype) {
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final data = getWineQualityDataFrame().shuffle();
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final data = getWineQualityDataFrame().shuffle(seed: 10);
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final samples = splitData(data, [0.8]);
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final trainSamples = samples.first;
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final testSamples = samples.last;

pubspec.yaml

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name: ml_algo
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description: Machine learning algorithms, Machine learning models performance evaluation functionality
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version: 16.17.0
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version: 16.17.1
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homepage: https://github.com/gyrdym/ml_algo
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environment:

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