028274e8f52c54b10d632a61ee19a6e64f7a90e6,examples/MotorImagery/two_class_motor_imagery.py,,,#,24

Before Change

results = context.evaluate(verbose=True)

for p in results.keys():
    results[p].to_csv("../../results/MotorImagery/TwoClass/%s.csv2" % p)

results = pd.concat(results.values())
print(results.groupby("Pipeline").mean())

After Change

pipelines["MDM"] = make_pipeline(Covariances("oas"), MDM())
pipelines["TS"] = make_pipeline(Covariances("oas"), TSclassifier())
pipelines["CSP+LDA"] = make_pipeline(Covariances("oas"), CSP(8), LDA())
pipelines["CSP+SVM"] = make_pipeline(Covariances("oas"), CSP(8), SVC())  // 

context = LeftRightImagery(pipelines, WithinSessionEvaluation(), datasets)

Instances