sklears-datasets 0.2.0

Dataset utilities and generation for sklears
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176

//! Synthetic data generators
//!
//! This module provides comprehensive synthetic dataset generation capabilities including
//! classification datasets, regression datasets, clustering datasets, biclustering datasets,
//! time series datasets, computer vision datasets, object detection datasets, streaming datasets,
//! graph datasets, text datasets, recommendation datasets, and specialized domain datasets.
//! All algorithms have been refactored into focused modules for better maintainability
//! and comply with SciRS2 Policy.

// Core dataset generation types and base structures
mod generation_core;
pub use generation_core::{
    DatasetGenerator, GeneratorConfig, SyntheticDataset, GenerationResult,
    GeneratorMetadata, GenerationValidator, DatasetQuality
};

// Basic classification dataset generators
mod classification_generators;
pub use classification_generators::{
    make_classification, make_blobs, make_moons, make_circles,
    make_gaussian_quantiles, make_hastie_10_2, ClassificationGenerator,
    SeparabilityGenerator, NonLinearGenerator, BoundaryGenerator
};

// Regression dataset generators
mod regression_generators;
pub use regression_generators::{
    make_regression, make_friedman1, make_friedman2, make_friedman3,
    make_sparse_uncorrelated, RegressionGenerator, NonLinearRegressionGenerator,
    SparseRegressionGenerator, CorrelatedRegressionGenerator
};

// Clustering and unsupervised dataset generators
mod clustering_generators;
pub use clustering_generators::{
    make_clustering_dataset, make_anisotropic_blobs, make_varied_blobs,
    make_density_blobs, ClusteringGenerator, AnisotropicGenerator,
    DensityVariationGenerator, ClusterShapeGenerator
};

// Biclustering dataset generators
mod biclustering_generators;
pub use biclustering_generators::{
    make_biclusters, make_checkerboard, make_spectral_biclusters,
    make_plaid_biclusters, BiclusteringGenerator, CheckerboardGenerator,
    SpectralBiclusterGenerator, PlaidBiclusterGenerator
};

// Time series and temporal dataset generators
mod time_series_generators;
pub use time_series_generators::{
    make_time_series, make_concept_drift_dataset, make_seasonal_time_series,
    make_trend_time_series, TimeSeriesGenerator, ConceptDriftGenerator,
    SeasonalGenerator, TrendGenerator, TemporalPatternGenerator
};

// Computer vision and image dataset generators
mod vision_generators;
pub use vision_generators::{
    make_image_classification_dataset, make_texture_dataset, make_pattern_dataset,
    make_geometric_dataset, VisionGenerator, TextureGenerator,
    PatternGenerator, GeometricShapeGenerator, ImageAugmentor
};

// Object detection dataset generators
mod object_detection_generators;
pub use object_detection_generators::{
    make_object_detection_dataset, make_segmentation_dataset, make_keypoint_dataset,
    make_instance_segmentation_dataset, ObjectDetectionGenerator, SegmentationGenerator,
    KeypointGenerator, InstanceGenerator, BoundingBoxGenerator
};

// Natural language processing dataset generators
mod nlp_generators;
pub use nlp_generators::{
    make_text_classification_dataset, make_text_regression_dataset,
    make_sentiment_dataset, make_topic_modeling_dataset, TextGenerator,
    SentimentGenerator, TopicGenerator, LanguageModelGenerator
};

// Graph and network dataset generators
mod graph_generators;
pub use graph_generators::{
    make_graph_classification_dataset, make_network_dataset, make_social_network,
    make_knowledge_graph, GraphGenerator, NetworkGenerator,
    SocialNetworkGenerator, KnowledgeGraphGenerator, GraphTopologyGenerator
};

// Recommendation system dataset generators
mod recommendation_generators;
pub use recommendation_generators::{
    make_recommendation_dataset, make_collaborative_filtering_dataset,
    make_content_based_dataset, make_hybrid_recommendation_dataset,
    RecommendationGenerator, CollaborativeFilteringGenerator,
    ContentBasedGenerator, HybridRecommendationGenerator
};

// Streaming and online learning dataset generators
mod streaming_generators;
pub use streaming_generators::{
    make_streaming_dataset, make_data_stream, make_concept_drift_stream,
    make_evolving_dataset, StreamingGenerator, DataStreamGenerator,
    ConceptDriftStreamGenerator, EvolvingDataGenerator
};

// Anomaly detection dataset generators
mod anomaly_generators;
pub use anomaly_generators::{
    make_anomaly_detection_dataset, make_outlier_dataset, make_novelty_dataset,
    make_fraud_detection_dataset, AnomalyGenerator, OutlierGenerator,
    NoveltyGenerator, FraudDetectionGenerator, AnomalyPatternGenerator
};

// Multimodal and cross-modal dataset generators
mod multimodal_generators;
pub use multimodal_generators::{
    make_multimodal_dataset, make_cross_modal_dataset, make_vision_language_dataset,
    make_audio_visual_dataset, MultimodalGenerator, CrossModalGenerator,
    VisionLanguageGenerator, AudioVisualGenerator
};

// Domain-specific dataset generators
mod domain_generators;
pub use domain_generators::{
    make_medical_dataset, make_financial_dataset, make_scientific_dataset,
    make_iot_dataset, MedicalDataGenerator, FinancialDataGenerator,
    ScientificDataGenerator, IoTDataGenerator, BioinformaticsGenerator
};

// Noise and corruption pattern generators
mod noise_generators;
pub use noise_generators::{
    NoiseGenerator, CorruptionGenerator, MissingDataGenerator,
    LabelNoiseGenerator, FeatureNoiseGenerator, OutlierInjector,
    NoisePatternGenerator, DataQualityController
};

// Feature engineering and transformation generators
mod feature_generators;
pub use feature_generators::{
    FeatureGenerator, SyntheticFeatureGenerator, CorrelatedFeatureGenerator,
    RedundantFeatureGenerator, NonLinearFeatureGenerator, InteractionFeatureGenerator,
    PolynomialFeatureGenerator, TrigonometricFeatureGenerator
};

// Distribution and statistical pattern generators
mod distribution_generators;
pub use distribution_generators::{
    DistributionGenerator, GaussianMixtureGenerator, ExponentialFamilyGenerator,
    HeavyTailedGenerator, MultimodalDistributionGenerator, SkewedDistributionGenerator,
    StatisticalPatternGenerator, ProbabilityDistributionGenerator
};

// Validation and quality assessment utilities
mod generation_validation;
pub use generation_validation::{
    GenerationValidator, DatasetQualityAssessor, SyntheticDataValidator,
    GenerationDiagnostics, QualityMetrics, ValidationFramework,
    GenerationAnalyzer, DatasetProfiler
};

// Performance optimization for dataset generation
mod generation_optimization;
pub use generation_optimization::{
    GenerationOptimizer, ParallelGenerator, MemoryEfficientGenerator,
    BatchGenerator, StreamingOptimizer, CacheOptimizer,
    GenerationProfiler, PerformanceAnalyzer
};

// Utilities and helper functions for generation
mod generation_utilities;
pub use generation_utilities::{
    GenerationUtilities, RandomStateManager, ParameterValidator,
    ConfigurationManager, GenerationLogger, UtilityFunctions,
    GenerationHelper, MathematicalUtilities
};