Alchina

Clusters

- K-Means

Preprocessors

- PCA

- Support for Python 3.6
- Handle 1-D array in prediction input

Metrics

- Confusion matrix
- Accuracy score
- Precision score
- Recall score
- F-Beta score
- F-1 score

Regressors
**Features**
- implement basic linear regression
- implement ridge regression

**Fixes**
- fix history parameter in linear regressor

Classifiers
**Features**
- implement basic logistic regression
- implement ridge classification
- implement multiclass classifier

**Refactor**
- around prediction to actual class

**Fixes**
- fix logistic cost function

Optimizers
**Features**
- implement batch gradient descent
- implement stochastic gradient descent
- implement mini-batch gradient descent

**Refactor**
- better parameter handling

Preprocessors
**Features**
- implement standardization
- implement min-max normalization

Metrics
**Features**
- implement r2 score

Selection
**Features**
- implement dataset split

Utils
**Features**
- check dataset consistency
- shuffle dataset