generator

问题 I am trying to use keras to fit a CNN model to classify 2 classes of data . I have imbalanced dataset I want to balance the data. I don't know can I use class_weight in model.fit_generator . I wonder if I used class_weight="balanced" in model.fit_generator The main code : def generate_arrays_for_training(indexPat, paths, start=0, end=100): while True: from_=int(len(paths)/100*start) to_=int(len(paths)/100*end) for i in range(from_, int(to_)): f=paths[i] x = np.load(PathSpectogramFolder+f) x =

问题 Imagine I have some code that I want it to run: with F() as o: while True: a = o.send(2) print(a) It means that the F class should return an generator and also it is context manager , generally I want a context manager to be generator too. I tried this: class F: def __enter__(self): return self def __exit__(self, *exc): print('exit') def __next__(self): return 5 def __iter__(self): return self As expected this will return AttributeError: 'F' object has no attribute 'send' , I handled this

问题 Imagine I have some code that I want it to run: with F() as o: while True: a = o.send(2) print(a) It means that the F class should return an generator and also it is context manager , generally I want a context manager to be generator too. I tried this: class F: def __enter__(self): return self def __exit__(self, *exc): print('exit') def __next__(self): return 5 def __iter__(self): return self As expected this will return AttributeError: 'F' object has no attribute 'send' , I handled this

问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 8 years ago . I've read all the documentation on the subject, but it seems I can't grasp the whole concept of Python coroutines well enough to implement what I want to do. I have a background task (which generates some random

问题 I have this code: function* showValue() { setTimeout(function*() { console.log('yielding') return yield 100; }, 1000); } var valFunc = showValue(); console.log(valFunc.next()); When I run it, I see this output: { value: undefined, done: true } Why should I do to have the .next() call return 100? 回答1: You might think about changing the code as follows; function showValue() { return setTimeout(function() { function* gen() { console.log('yielding'); yield 100; }; var it = gen(); console.log(it

问题 I have this code: function* showValue() { setTimeout(function*() { console.log('yielding') return yield 100; }, 1000); } var valFunc = showValue(); console.log(valFunc.next()); When I run it, I see this output: { value: undefined, done: true } Why should I do to have the .next() call return 100? 回答1: You might think about changing the code as follows; function showValue() { return setTimeout(function() { function* gen() { console.log('yielding'); yield 100; }; var it = gen(); console.log(it

问题 I have some very big XML files (around ~100-150 MB each). One element in my XML is M (for member), which is a child of HH (household) - i.e. - each household contains one or more members. What I need to do is to take all the members that satisfies some conditions (the conditions can change, and can be both on the household and on the members - e.g. - just members from households with high income (constraint on the household), who's age is between 18-49 (constraint on the member)) - and to

问题 I have some very big XML files (around ~100-150 MB each). One element in my XML is M (for member), which is a child of HH (household) - i.e. - each household contains one or more members. What I need to do is to take all the members that satisfies some conditions (the conditions can change, and can be both on the household and on the members - e.g. - just members from households with high income (constraint on the household), who's age is between 18-49 (constraint on the member)) - and to

问题 I have some very big XML files (around ~100-150 MB each). One element in my XML is M (for member), which is a child of HH (household) - i.e. - each household contains one or more members. What I need to do is to take all the members that satisfies some conditions (the conditions can change, and can be both on the household and on the members - e.g. - just members from households with high income (constraint on the household), who's age is between 18-49 (constraint on the member)) - and to

问题 Is there any way to generate a unique random number that has 8 bytes size in python language? I used the UUID library but it has 16 bytes which are not aligned with my requirement. Any help would be much appreciated. Thanks in advance 回答1: Well, you could use Linear Congruential Generator which, with proper selection of parameters, produce perfect mapping from u64 to u64. In other words, if you have access to previous 8bytes UUID, you could generate reasonable random next 8bytes UUID WITHOUT