
Feature Selection
- Add OMP
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html#sklearn.linear_model.OrthogonalMatchingPursuit
from sklearn.linear_model import OrthogonalMatchingPursuit
reg = OrthogonalMatchingPursuit().fit(X, y)
reg.coef_

- Add LARS
lars.coef_

- Add LARSLasso
-larslasso.coef_

- Add LassoLarsIC
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html#sklearn.linear_model.LassoLarsIC
from sklearn.linear_model import LassoLarsIC
lasslarsic.coef_

Model Selection
- Add OMP
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html#sklearn.linear_model.OrthogonalMatchingPursuit
from sklearn.linear_model import OrthogonalMatchingPursuit
reg = OrthogonalMatchingPursuit().fit(X, y)

- Add LassoLarsIC
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html#sklearn.linear_model.LassoLarsIC
from sklearn.linear_model import LassoLarsIC
reg = linear_model.LassoLarsIC(criterion='bic').fit(X,y)

- Add RANSAC
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html#sklearn.linear_model.RANSACRegressor
from sklearn.linear_model import RANSACRegressor
reg = RANSACRegressor(random_state=0).fit(X, y)

- Add Perceptron
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html#sklearn.linear_model.Perceptron

- Add BaggingClassifier
https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier

Transformation

- Add PolynomialFeatures
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html#sklearn.preprocessing.PolynomialFeatures

- Add Guassian Random Projection
https://scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html#sklearn.random_projection.GaussianRandomProjection

- Add MinMax Scaler
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html#sklearn.preprocessing.MinMaxScaler
from sklearn.preprocessing import MinMaxScaler
dat = MinMaxScaler().transform(X)

-Add MaxAbs Scaler
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html#sklearn.preprocessing.MaxAbsScaler
from sklearn.preprocessing import MaxAbsScaler
transformer = MaxAbsScaler().fit(X).transform(X)
