Built-in Algorithms:

分类

决策树, AdaBoost, Gradient Boosting, Random Forest, Logistic Regression, 神经网络, Support Vector Machines, RBF Networks, Maximum Entropy Classifier, Generic Naïve Bayes Classifier, Naïve Bayes Document Classfier, Fisher / Linear / Quadratic / Regularized Discriminant Analysis, Platt Scaling, Isotonic Regression Scaling, One vs. One, One vs. Rest

Regression

Linear Regression, LASSO, ElasticNet, Ridge Regression, Regression Trees, Gradient Boosting, Random Forest, RBF Networks, Neural Networks, Support Vector Regression, Gaussian Process, Generalized Linear Model

Feature Engineering and Selection

Bag of Words, Sparse One Hot Encoding, Standardizer, Robust Standardizer, Maximum Absolute Value Scaler, Winsor Scaler, Normalizer, Genetic Algorithm based Feature Selection, Ensemble Learning based Feature Selection, TreeSHAP, Signal Noise ratio, Sum Squares ratio

Dimension Reduction

PCA, Kernel PCA, Probabilistic PCA, Generalized Hebbian Algorithm, Random Project, ICA

Model Validation

Cross Validation, Leave-One-Out Validation, Bootstrap, Confusion Matrix, Hyperparameter Tuning, AUC, LogLoss, CrossEntropy, Accuracy, Error, Fallout, FDR, F-Score, Precision, Recall, Sensitivity, Specificity, Matthews Correlation Coefficient, MSE, RMSE, RSS, R2, Mean Absolute Deviation, Rand Index, Adjusted Rand Index, Mutual Information Score,

Clustering

Hierarchical Clustering, CLARANS, DBSCAN, DENCLUE, K-Means, X-Means, G-Means, K-Modes, Deterministic Annealing, Sequential Information Bottleneck, Spectral Clustering, Minimum Entropy Clustering

Vector Quantization

BIRCH, Self-Organizing Maps, Neural Gas, Growing Neural Gas, Neural Map

Association Rules

Frequent Itemset Mining, Association Rule Mining

Manifold learning

IsoMap, LLE, Laplacian Eigenmap, t-SNE, UMAP, Classical MDS, Isotonic MDS, Sammon Mapping

Nearest Neighbor Search

Linear Search, BK-Tree, Cover Tree, KD-Tree, LSH, Multi-Probe LSH, SimHash

Sequence Learning

Hidden Markov Model, Conditional Random Field

Time Series

ACF, PACF, Box-Pierce and Ljung-Box Test, AR, ARMA

Natural Language Processing

Sentence Splitter, Tokenizer, Bigram Extractor, Phrase Extractor, Keyword Extractor, Porter Stemmer, Lancaster Stemmer, POS Tagging, Relevance Ranking, Word2Vec

Mathematics

Genetic Algorithms, Graph, Hash Functions, Interpolation, Sort Algorithms, Taxonomy, Wavelet

Linear Algebra

Dense Matrix, Band Matrix, Sparse Matrix, LU, Cholesky, QR, EVD, SVD, Biconjugate Gradient, BFGS, Computer Algebra System

Statistics

Distributions, Random Number Generators, Hypothesis Tests