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162                    SmartCore 0.6
163                    <br/>
164                    <a class="align-bottom font-weight-light" href="/user_guide/versions.html">other version</a>
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171                <h1 id="about-us">About us</h1>
172
173<p>SmartCore is developed and maintained by Smartcore developers. Our goal is to build an open library that has accurate, numerically stable, and well-documented implementations of the most well-known and widely used machine learning algorithms.</p>
174
175<h2 id="contributors">Contributors</h2>
176
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180            <a href="https://github.com/volodymyrorlov"><img class="avatar" alt="volodymyrorlov" width="60" height="60" data-proofer-ignore="true" src="https://avatars2.githubusercontent.com/volodymyrorlov?v=3&amp;s=60" srcset="https://avatars2.githubusercontent.com/volodymyrorlov?v=3&amp;
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181            <p>Vlad Orlov</p>
182        </div>
183    
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185            <a href="https://github.com/morenol"><img class="avatar" alt="morenol" width="60" height="60" data-proofer-ignore="true" src="https://avatars3.githubusercontent.com/morenol?v=3&amp;s=60" srcset="https://avatars3.githubusercontent.com/morenol?v=3&amp;s=60 1x, https://avatars3.githubusercontent.com/morenol?v=3&amp;s=120 2x, https://avatars3.githubusercontent.com/morenol?v=3&amp;s=180 3x, https://avatars3.githubusercontent.com/morenol?v=3&amp;s=240 4x" /></a>
186            <p>Luis Moreno</p>
187        </div>
188    
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190            <a href="https://github.com/mec-is"><img class="avatar" alt="mec-is" width="60" height="60" data-proofer-ignore="true" src="https://avatars1.githubusercontent.com/mec-is?v=3&amp;s=60" srcset="https://avatars1.githubusercontent.com/mec-is?v=3&amp;s=60 1x, https://avatars1.githubusercontent.com/mec-is?v=3&amp;s=120 2x, https://avatars1.githubusercontent.com/mec-is?v=3&amp;s=180 3x, https://avatars1.githubusercontent.com/mec-is?v=3&amp;s=240 4x" /></a>
191            <p>Lorenzo Moriondo</p>
192        </div>
193    
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195            <a href="https://github.com/rabbitrabid"><img class="avatar" alt="rabbitrabid" width="60" height="60" data-proofer-ignore="true" src="https://avatars3.githubusercontent.com/rabbitrabid?v=3&amp;s=60" srcset="https://avatars3.githubusercontent.com/rabbitrabid?v=3&amp;s=60 1x, https://avatars3.githubusercontent.com/rabbitrabid?v=3&amp;s=120 2x, https://avatars3.githubusercontent.com/rabbitrabid?v=3&amp;s=180 3x, https://avatars3.githubusercontent.com/rabbitrabid?v=3&amp;s=240 4x" /></a>
196            <p>Vadim Zaliva</p>
197        </div>
198        
199</div>
200<h2 id="release-notes">Release Notes</h2>
201
202<h3 id="version-06x-current">Version 0.6.x (current)</h3>
203
204<ul>
205  <li>Edition 2024 port (MSRV 1.85), no <code class="language-plaintext highlighter-rouge">unsafe</code> in library code</li>
206  <li><code class="language-plaintext highlighter-rouge">ndarray</code> upgraded to 0.17; <code class="language-plaintext highlighter-rouge">nalgebra</code> bindings dropped</li>
207  <li>New <code class="language-plaintext highlighter-rouge">preprocessing</code> module (one-hot encoding, standard scaling, series encoder)</li>
208  <li>New <code class="language-plaintext highlighter-rouge">AgglomerativeClustering</code> and <code class="language-plaintext highlighter-rouge">ExtraTreesRegressor</code></li>
209  <li>New <code class="language-plaintext highlighter-rouge">Cosine</code> and <code class="language-plaintext highlighter-rouge">Jaccard</code> distance metrics</li>
210  <li><code class="language-plaintext highlighter-rouge">DenseMatrix</code> moved to <code class="language-plaintext highlighter-rouge">linalg::basic::matrix</code> (constructors now fallible)</li>
211  <li>Trait rework: <code class="language-plaintext highlighter-rouge">SupervisedEstimatorBorrow</code>/<code class="language-plaintext highlighter-rouge">PredictorBorrow</code> for borrow-style estimators (<code class="language-plaintext highlighter-rouge">SVC</code>, <code class="language-plaintext highlighter-rouge">SVR</code>)</li>
212  <li><code class="language-plaintext highlighter-rouge">train_test_split</code> takes an optional RNG seed</li>
213  <li><code class="language-plaintext highlighter-rouge">cross_validate</code> takes an estimator instance, not a <code class="language-plaintext highlighter-rouge">fit</code> fn pointer</li>
214  <li>Model persistence moved from <code class="language-plaintext highlighter-rouge">bincode</code> to <code class="language-plaintext highlighter-rouge">postcard</code></li>
215  <li><code class="language-plaintext highlighter-rouge">default</code> feature set is now empty; <code class="language-plaintext highlighter-rouge">datasets</code>, <code class="language-plaintext highlighter-rouge">ndarray-bindings</code>, <code class="language-plaintext highlighter-rouge">serde</code> are opt-in</li>
216</ul>
217
218<h3 id="version-020">Version 0.2.0</h3>
219
220<ul>
221  <li>DBSCAN</li>
222  <li>Epsilon-SVR, SVC</li>
223  <li>Ridge, Lasso, ElasticNet</li>
224  <li>Bernoulli, Gaussian, Categorical and Multinomial Naive Bayes</li>
225  <li>K-fold Cross Validation</li>
226  <li>Singular value decomposition</li>
227  <li>New api module</li>
228  <li>Integration with Clippy</li>
229  <li>smartcore::error:FailedError is now non-exhaustive</li>
230  <li>ndarray upgraded to 0.14</li>
231  <li>Cholesky decomposition</li>
232  <li>API changed in: K-Means, PCA, Random Forest, Linear and Logistic Regression, KNN, Decision Tree</li>
233</ul>
234
235<h3 id="version-010">Version 0.1.0</h3>
236
237<p>This is our first realease, enjoy! In this version you’ll find:</p>
238<ul>
239  <li>KNN + distance metrics (Euclidian, Minkowski, Manhattan, Hamming, Mahalanobis)</li>
240  <li>Linear Regression (OLS)</li>
241  <li>Logistic Regression</li>
242  <li>Random Forest Classifier</li>
243  <li>Decision Tree Classifier</li>
244  <li>PCA</li>
245  <li>K-Means</li>
246  <li>
246Integrated with ndarray</li>
247  <li>Abstract linear algebra methods</li>
248  <li>RandomForest Regressor</li>
249  <li>Decision Tree Regressor</li>
250  <li>Serde integration</li>
251  <li>LU, QR, SVD, EVD</li>
252  <li>Evaluation Metrics</li>
253</ul>
254
255<p>Please let us know if you found a problem. The best way to report it is to <a href="https://github.com/smartcorelib/smartcore/issues">open an issue</a> on GitHub.</p>
256
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