PHOTONAI WIZARD

Design your pipeline

Analysis Name

Specify a name for this analysis.

Project Description

Please provide a short description of your project.

Project Folder

Please give a local directory for your photon analysis

Design Choices

You optimize for mean_absolute_error using random_grid_search.

Optimizer	random_grid_search	n_configurations: 30
Inner Cross Validation Strategy	KFold	n_splits: 3 \|shuffle: True
Outer Cross Validation Strategy	KFold	n_splits: 5 \|shuffle: True
Metrics	mean_squared_error
	mean_absolute_error
	explained_variance
Best Config Metric	mean_absolute_error

Transformers

Your pipeline contains 2 transformer elements specifying 4 hyperparameters.

SimpleImputer	missing_values	np.nan
	strategy	mean
	fill_value	0
FRegressionSelectPercentile	percentile	25

Estimators

Your learning algorithm is SVR with 5 hyperparameters.

SVR	C	1
	gamma	scale
	max_iter	1000000.0
	kernel	linear
	epsilon	0.1

                        
                            
# Specify how results are going to be saved
# Define hyperpipe
hyperpipe = Hyperpipe('None',
                      project_folder = './results',
                      optimizer="random_grid_search",
                      optimizer_params={'n_configurations': 30},
                      metrics=['mean_squared_error', 'mean_absolute_error', 'explained_variance'],
                      best_config_metric="mean_absolute_error",
                      outer_cv = KFold(n_splits=5,shuffle=True),
                      inner_cv = KFold(n_splits=3, shuffle=True))
        
# Add transformer elements
hyperpipe += PipelineElement("SimpleImputer", hyperparameters={}, 
                             test_disabled=False, missing_values=np.nan, strategy='mean', fill_value=0)
hyperpipe += PipelineElement("FRegressionSelectPercentile", hyperparameters={}, 
                             test_disabled=False, percentile=25)
hyperpipe += PipelineElement("SVR", hyperparameters={}, C=1, gamma='scale', max_iter=1000000.0, kernel='linear', epsilon=0.1)

PHOTONAI Wizard