def sweep_hyperparameter_space_and_plot_complexity_curves(clf, features, labels, problem_name, plot_dir):
parameter_search_space = [[{'n_neighbors': 2}, {'n_neighbors': 4}, {'n_neighbors': 7}, {'n_neighbors': 10}, {'n_neighbors': 13}, \
{'n_neighbors': 15}], \
[{'weights': 'uniform'}, {'weights': 'distance'}]]
for hyperparam_range in parameter_search_space:
plot_complexity_curves_for_hyperparams(clf, train_features,train_labels, hyperparam_range, \
problem_name, plot_dir)
def sweep_hyperparameter_space_and_plot_complexity_curves(
clf, features, labels, problem_name, plot_dir):
parameter_search_space = [[{'hidden_layer_sizes': (25,)}, {'hidden_layer_sizes': (50,)}, {'hidden_layer_sizes': (100,)}, {'hidden_layer_sizes': (150,)}, {'hidden_layer_sizes': (200,)}], \
[{'activation': 'identity'}, {'activation': 'logistic'}, {'activation': 'tanh'}, {'activation': 'relu'}]]
for hyperparam_range in parameter_search_space:
plot_complexity_curves_for_hyperparams(clf, train_features,train_labels, hyperparam_range, \
problem_name, plot_dir)
def sweep_hyperparameter_space_and_plot_complexity_curves(
clf, features, labels, problem_name, plot_dir):
parameter_search_space = [[{'n_estimators': 25}, {'n_estimators': 50}, {'n_estimators': 75}, {'n_estimators': 100}, {'n_estimators': 150}, \
{'n_estimators': 200}, {'n_estimators': 300}], \
[{'learning_rate': 0.80}, {'learning_rate': 0.825}, {'learning_rate': 0.85}, {'learning_rate': 0.875}, \
{'learning_rate': 0.90}, {'learning_rate': 0.925}, {'learning_rate': 0.95}, {'learning_rate': 0.975}, {'learning_rate': 1.0}]]
for hyperparam_range in parameter_search_space:
plot_complexity_curves_for_hyperparams(clf, train_features,train_labels, hyperparam_range, \
problem_name, plot_dir)
def sweep_hyperparameter_space_and_plot_complexity_curves(clf, features, labels, problem_name, plot_dir):
parameter_search_space = [[{'max_depth': 5}, {'max_depth': 8}, {'max_depth': 12}, {'max_depth': 15}, \
{'max_depth': 20}, {'max_depth': 25}, {'max_depth': 30}], \
[{'min_samples_split': 25}, {'min_samples_split': 50}, {'min_samples_split': 100}, \
{'min_samples_split': 150}, {'min_samples_split': 200}, {'min_samples_split': 300}, {'min_samples_split': 400}, {'min_samples_split': 500}], \
[{'min_samples_leaf': 50}, {'min_samples_leaf': 100}, {'min_samples_leaf': 150}, {'min_samples_leaf': 200}, \
{'min_samples_leaf': 250}, {'min_samples_leaf': 325}, {'min_samples_leaf': 400}, {'min_samples_leaf': 500}]]
for hyperparam_range in parameter_search_space:
plot_complexity_curves_for_hyperparams(clf, features, labels, hyperparam_range, \
problem_name, plot_dir)