Integrating Sklearn into Syft

Feature Description

Since syft/lib/sklearn only makes use of Logistic Regression and Linear Regression, I am planning on adding more modules, classes and methods such as

Base class sklearn.cluster

[ ] Birch
[ ] DBSCAN
[ ] KMeans
[ ] MiniBatchKMeans

Base class sklearn.datasets

[ ] fetch_california_housing
[ ] load_boston
[ ] load_breast_cancer
[ ] load_diabetes
[ ] load_digits
[ ] load_files
[ ] load_iris
[ ] load_sample_image
[ ] load_sample_images
[ ] make_blobs

Base class sklearn.decomposition

[ ] Fast ICA
[ ] Incremental PCA
[ ] Kernel PCA
[ ] Latent Dirichlet Allocation
[ ] PCA
[ ] Sparse PCA
[ ] Mini Batch Dictionary Learning
[ ] sparse_encode

Base class sklearn.discriminant_analysis

[ ] Linear Discriminant Analysis
[ ] Quadratic discriminant Analysis

Base class sklearn.Dummy

[ ] Dummy Classifier
[ ] Dummy Regressor

Base class sklearn.ensemble

[ ] AdaBoost Classifier
[ ] AdaBoost Regressor
[ ] Bagging Classifier
[ ] Bagging Regressor
[ ] Gradient Boosting Classifier
[ ] Gradient Boosting Regressor
[ ] Random Forest Regressor
[ ] Random Forest Classifier

Base class sklearn.gaussian_process

[ ] Gaussian Process regressor
[ ] Gaussian Process classifier
[ ] Gaussian_process kernels RBF

Base class metrics

[ ] accuracy score
[ ] auc
[ ] classification report
[ ] confusion matrix
[ ] log loss
[ ] f1 score
[ ] multi label confusion matrix
[ ] precision recall curve
[ ] precision score
[ ] recall score
[ ] roc curve
[ ] roc auc score
[ ] top k accuracy score
[ ] max error
[ ] mean absolute error
[ ] mean squared error

Base class for sklearn.multioutput

[ ] MultiOutput Regressor
[ ] Multioutput classifier

Base class for sklearn.naive_bayes

[ ] GaussianNB
[ ] BernoulliNB
[ ] MultinomialNB

Base class for sklearn.neighbors

[ ] KNeighbors Regressor
[ ] KNeighbors Classifier

Base class for sklearn.neural_networks

[ ] MLP classifier
[ ] MLP regressor

Base class for pre processing

[ ] scale
[ ] min max scale
[ ] normalize
[ ] Standard Scaler
[ ] One Hot Encoder
[ ] Label Encoder

Base class for sklearn.svm

[ ] Linear SVC
[ ] Linear SVR
[ ] SVR
[ ] SVC

Base class for sklearn.tree

[ ] Decision Tree Classifier
[ ] Decision Tree Regressor

OpenMined / PySyft

Integrating Sklearn into Syft #5445

Feature Description