How to clear attributte error in numpy.ndarray and no attributte loc

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AN = Sequential()
AN.add(Dense(256, input_dim = 302, activation='relu'))
AN.add(Dropout(0.2))
AN.add(Dense(128, activation='relu'))
AN.add(Dropout(0.2))
AN.add(Dense(128, activation='relu'))
AN.add(Dropout(0.3))
AN.add(Dense(32, activation='relu'))
AN.add(Dropout(0.2))
AN.add(Dense(1, activation='sigmoid'))
AN.compile(optimizer='sgd', loss='binary_crossentropy', metrics=['accuracy'])

AN.fit(X_train.loc[:,sel.support_], y_train, epochs=175, batch_size=32)

scores = AN.evaluate(X_test.loc[:,sel.support_], y_test)
for i in range(len(scores)):
  print("\n%s: %.2f%%" % (AN.metrics_names[i], scores[i]*100))

What I have tried:

still not tried give the solution

Posted 30-Mar-23 22:03pm

Tarak chandan

Updated 30-Mar-23 22:17pm

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Richard MacCutchan 31-Mar-23 5:06am

Not tried what? Soltion to what? You have not provided any useful detail in your question. Please use the Improve question link above, and add complete details of what is not working.

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OriginalGriff · Answer 1 · 2023-03-30T22:17:00

Quote:
still not tried give the solution

No.

While we are more than willing to help those that are stuck, that doesn't mean that we are here to do it all for you! We can't do all the work, you are either getting paid for this, or it's part of your grades and it wouldn't be at all fair for us to do it all for you.

So we need you to do the work, and we will help you when you get stuck. That doesn't mean we will give you a step by step solution you can hand in!
Start by explaining where you are at the moment, and what the next step in the process is. Then tell us what you have tried to get that next step working, and what happened when you did.

Just saying "I've done nothing, you do it" isn't going to get you anywhere.

If you are having problems getting started at all, then this may help: How to Write Code to Solve a Problem, A Beginner's Guide[^]