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List of Supported Algorithms
Makoto YUI edited this page Jun 15, 2015
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Here is a list of supported algorithms since Hivemall v0.2.
| Type | Algorithm | Supported version |
|---|---|---|
| Classfication | Perceptron | v0.2 |
| Classfication | Passive Aggressive (PA, PA1, PA2) | v0.2 |
| Classfication | Confidence Weighted (CW) | v0.2 |
| Classfication | Adaptive Regularization of Weight Vectors (AROW) | v0.2 |
| Classfication | Soft Confidence Weighted (SCW1, SCW2) | v0.2 |
| Classfication | AdaGradRDA (with hinge loss) | v0.3 (beta 2) |
| Regression | Logistic Regression using Stochastic Gradient Descent | v0.2 |
| Regression | AdaGrad / AdaDelta (with Logistic Loss) | v0.3 (beta 2) |
| Regression | Passive Aggressive Regression (PA1, PA2) | v0.2 |
| Regression | AROW regression | v0.2 |
| Regression | Polynomial Regression | v0.3.2 |
| Recommendation | Matrix Factorization (sgd, adagrad) | v0.3 |
| Recommendation | Minhash (LSH with jaccard index) | v0.2 |
| Nearest Neighbor | Minhash (LSH with jaccard index) | v0.2 |
| Nearest Neighbor | b-Bit minhash | v0.2 |
| Nearest Neighbor | Brute-force search using Cosine similarity | v0.2 |
| Anomaly Detection | Local Outlier Factor (LOF) | v0.3.2 |
| Feature engineering | Feature Hashing (MurmurHash, SHA1) | v0.2 |
| Feature engineering | Feature scaling (Min-Max Normalization, Z-Score) | v0.2 |
| Feature engineering | Polynomial Features | v0.3.2 |
| Feature engineering | Feature instances amplifier that reduces iterations on training | v0.2 |
| Feature engineering | TF-IDF vectorizer | v0.3 (beta 3) |
| Feature engineering | Bias clause | v0.2 |
| Feature engineering | Data generator for one-vs-the-rest classifiers | v0.2 |