ridge_m = Ridge_Model(CLASS_LABELS)
models['ridge'] = Model(ridge_m)
ridge_m_10 = Ridge_Model(CLASS_LABELS)
ridge_m.lmbda = 10.0
models['ridge_lmda_10'] = Model(ridge_m_10)
ridge_m_01 = Ridge_Model(CLASS_LABELS)
ridge_m.lmbda = 0.1
models['ridge_lmda_01'] = Model(ridge_m_01)
svm_m = SVM_Model(CLASS_LABELS)
models['svm'] = Model(svm_m)
svm_m_10 = SVM_Model(CLASS_LABELS)
svm_m.C = 10.0
models['svm_C_10'] = Model(svm_m_10)
svm_m_01 = SVM_Model(CLASS_LABELS)
svm_m.C = 0.1
models['svm_C_01'] = Model(svm_m_01)
#########GRID SEARCH OVER MODELS############
highest_accuracy = 0 # Highest validation accuracy
best_model_name = None # Best model name
best_model = None # Best model instance
K = [50,200,600,800] # List of dimensions
ridge_m = Ridge_Model(CLASS_LABELS) models['ridge'] = Model(ridge_m) ridge_m_10 = Ridge_Model(CLASS_LABELS) ridge_m_10.lmbda = 10.0 models['ridge_lmda_10'] = Model(ridge_m_10) ridge_m_01 = Ridge_Model(CLASS_LABELS) ridge_m_01.lmbda = 0.1 models['ridge_lmda_01'] = Model(ridge_m_01) svm_m = SVM_Model(CLASS_LABELS) models['svm'] = Model(svm_m) svm_m_10 = SVM_Model(CLASS_LABELS) svm_m_10.C = 10.0 models['svm_C_10'] = Model(svm_m_10) svm_m_01 = SVM_Model(CLASS_LABELS) svm_m_01.C = 0.1 models['svm_C_01'] = Model(svm_m_01) #########GRID SEARCH OVER MODELS############ highest_accuracy = 0 # Highest validation accuracy best_model_name = None # Best model name best_model = None # Best model instance K = [50,200,600,800] # List of dimensions