selection of features and hyperparameters of the model #318
Description
How to use feature selection together with hyperparameter selection of a classifier model?
gene_space = [ {'low': 1, 'high': 200, 'step': 3}, # n_estimators {'low': 1, 'high': 7, 'step': 1}, # depth # Feature selection (binary vector for each feature) *([0, 1] * (n_features // 2)) #*[random.randint(0, 1) for _ in range(n_features)] ]