pipeline_hog_pca_svm.py

from OwnTransformers.ImageDescriptors import DescriptorHOG
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline

model = Pipeline(
	steps=[
	       ('hogdescriptor', DescriptorHOG()),
	       ('pca', PCA(n_components=0.9, svd_solver='full')),
	       ('scaler', StandardScaler()),
	       ('svm', SVC(kernel='rbf', gamma= GAMMA, C = C_VALUE))
		]
	)