def gaussian_linear_experiment_more_epochs():
d = 100
run_experiment(
dataset_func=lambda: datasets.gaussian_data_func(d), n_classes=2, input_shape=(d,),
save_file='saved_files/gaussian_more_epochs.dat',
model_func=models.linear_softmax_model, interval=500, epochs=150, loss='ce',
soft=False, conf_q=0.1, num_runs=5)
def gaussian_linear_experiment_noconf():
d = 100
run_experiment(
dataset_func=lambda: datasets.gaussian_data_func(d),
n_classes=2,
input_shape=(d, ),
save_file="saved_files/gaussian_noconf.dat",
model_func=models.linear_softmax_model,
interval=500,
epochs=100,
loss="ce",
soft=False,
conf_q=0.0,
num_runs=5,
)