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Fix optimizer initialization in NLPCA.create_model #5

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Fix optimizer initialization in NLPCA.create_model #5

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8bc753d
Fix optimizer initialization
ManfangLiang Feb 26, 2025
b967c32
Update glob.py
ManfangLiang Feb 26, 2025
d1f342d
Update glob.py
ManfangLiang Feb 26, 2025
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14 changes: 7 additions & 7 deletions prinpy/glob.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,11 +10,11 @@

# ML libraries
import tensorflow as tf
import keras
from keras.models import Model
from keras.layers import Dense, Input, LeakyReLU
from keras import optimizers
import keras.backend as k
from tensorflow import keras
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense, Input, LeakyReLU
from tensorflow.keras.optimizers import Adam
import tensorflow.keras.backend as K

# Preprocessing
from sklearn.preprocessing import MinMaxScaler, StandardScaler
Expand Down Expand Up @@ -123,7 +123,7 @@ def create_model(self, num_dim, nodes, lr):

# Connect and compile model:
model = Model(inputs = input, outputs = output)
gradient_descent = optimizers.adam(learning_rate=lr)
gradient_descent = Adam(learning_rate=lr)
model.compile(loss = orth_dist, optimizer = gradient_descent)

return model
Expand Down Expand Up @@ -151,4 +151,4 @@ def preprocess(self, data):
scaled = scale.fit_transform(normed.reshape(-1,1))
data_lists.append(scaled)

return np.concatenate(data_lists, axis = 1)
return np.concatenate(data_lists, axis = 1)