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Commit 9e6d69c5 authored by tomrink's avatar tomrink
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...@@ -130,7 +130,7 @@ def build_residual_block(input, drop_rate, num_neurons, activation, block_name, ...@@ -130,7 +130,7 @@ def build_residual_block(input, drop_rate, num_neurons, activation, block_name,
class IcingIntensityDNN: class IcingIntensityDNN:
def __init__(self, y_dim_len=IMG_WIDTH, x_dim_len=IMG_WIDTH, def __init__(self, y_dim_len=IMG_WIDTH, x_dim_len=IMG_WIDTH,
day_night='DAY', l1b_or_l2='both', use_flight_altitude=False, datapath=None): day_night='DAY', l1b_or_l2='l2', use_flight_altitude=False, datapath=None):
print('day_night: ', day_night) print('day_night: ', day_night)
print('l1b_or_l2: ', l1b_or_l2) print('l1b_or_l2: ', l1b_or_l2)
print('use_flight_altitude: ', use_flight_altitude) print('use_flight_altitude: ', use_flight_altitude)
...@@ -400,8 +400,7 @@ class IcingIntensityDNN: ...@@ -400,8 +400,7 @@ class IcingIntensityDNN:
else: else:
h5f = self.h5f_l2_trn h5f = self.h5f_l2_trn
time = h5f['time'] time = h5f['time']
# trn_idxs = np.arange(time.shape[0]) trn_idxs = np.arange(time.shape[0])
trn_idxs = np.arange(50000)
if seed is not None: if seed is not None:
np.random.seed(seed) np.random.seed(seed)
np.random.shuffle(trn_idxs) np.random.shuffle(trn_idxs)
...@@ -411,8 +410,7 @@ class IcingIntensityDNN: ...@@ -411,8 +410,7 @@ class IcingIntensityDNN:
else: else:
h5f = self.h5f_l2_tst h5f = self.h5f_l2_tst
time = h5f['time'] time = h5f['time']
# tst_idxs = np.arange(time.shape[0]) tst_idxs = np.arange(time.shape[0])
tst_idxs = np.arange(5000)
if seed is not None: if seed is not None:
np.random.seed(seed) np.random.seed(seed)
np.random.shuffle(tst_idxs) np.random.shuffle(tst_idxs)
...@@ -481,7 +479,7 @@ class IcingIntensityDNN: ...@@ -481,7 +479,7 @@ class IcingIntensityDNN:
flat = self.input flat = self.input
n_hidden = self.input.shape[1] n_hidden = self.input.shape[1]
fac = 2 fac = 6
fc = build_residual_block(flat, drop_rate, fac * n_hidden, activation, 'Residual_Block_1', doDropout=True, fc = build_residual_block(flat, drop_rate, fac * n_hidden, activation, 'Residual_Block_1', doDropout=True,
doBatchNorm=True) doBatchNorm=True)
......
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