two-different-sections question about python code
i'm new to python so this is a two-different-sections question... first I don't understand what this code means and whats for the DESCR this supposed to be for description isn't ? and for the split part with values? i don't understand the values
datasets = [ds.DESCR.split()[0] for ds in datasets]
clf_name = [str(clf).split('(')[0][:12] for clf in clfs]
second when do i use np.ones or np.zeros i know to generate an array of ones or zeros but what i mean is is when specificly in data science does it require me to initialize an array with ones or zeros?
python machine-learning
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
add a comment |
i'm new to python so this is a two-different-sections question... first I don't understand what this code means and whats for the DESCR this supposed to be for description isn't ? and for the split part with values? i don't understand the values
datasets = [ds.DESCR.split()[0] for ds in datasets]
clf_name = [str(clf).split('(')[0][:12] for clf in clfs]
second when do i use np.ones or np.zeros i know to generate an array of ones or zeros but what i mean is is when specificly in data science does it require me to initialize an array with ones or zeros?
python machine-learning
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24
add a comment |
i'm new to python so this is a two-different-sections question... first I don't understand what this code means and whats for the DESCR this supposed to be for description isn't ? and for the split part with values? i don't understand the values
datasets = [ds.DESCR.split()[0] for ds in datasets]
clf_name = [str(clf).split('(')[0][:12] for clf in clfs]
second when do i use np.ones or np.zeros i know to generate an array of ones or zeros but what i mean is is when specificly in data science does it require me to initialize an array with ones or zeros?
python machine-learning
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
i'm new to python so this is a two-different-sections question... first I don't understand what this code means and whats for the DESCR this supposed to be for description isn't ? and for the split part with values? i don't understand the values
datasets = [ds.DESCR.split()[0] for ds in datasets]
clf_name = [str(clf).split('(')[0][:12] for clf in clfs]
second when do i use np.ones or np.zeros i know to generate an array of ones or zeros but what i mean is is when specificly in data science does it require me to initialize an array with ones or zeros?
python machine-learning
python machine-learning
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
asked Nov 15 '18 at 21:58
Joseph_Joseph_
4
4
Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24
add a comment |
Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24
Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24
add a comment |
2 Answers
2
active
oldest
votes
This code is creating two lists using list comprehension.
The ds.DESCR and other expressions here can mean anything, depending on the context.
As for your second sub-question, I'd advise to as something more specific.
If you need ones, you use np.ones, if you need zeros, you use np.zeros. That's it.
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
add a comment |
Np.zeros is great if you for example gradually update your matrix with values. Every entry that is not updated by your algorithm stays zero.
In application this could be a matrix that shows you edges in a picture. You create a matrix of the size of the picture filled with zeros and then go over the picture with an kernel that detects edges. For every edge you detect you increase the value in the matrix at the position of the detected edge.
A matrix or a vector of ones is great to do some matrix multiplications. Assume some vector of shape (n,1) x (1,n) of a Vector filled with ones will expand the vector to a matrix of shape (n,n). This is and similar cases can make a vector/matrix of ones necessary.
answered Nov 15 '18 at 22:09
AussAuss
585
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
This code is creating two lists using list comprehension.
The ds.DESCR and other expressions here can mean anything, depending on the context.
As for your second sub-question, I'd advise to as something more specific.
If you need ones, you use np.ones, if you need zeros, you use np.zeros. That's it.
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
add a comment |
This code is creating two lists using list comprehension.
The ds.DESCR and other expressions here can mean anything, depending on the context.
As for your second sub-question, I'd advise to as something more specific.
If you need ones, you use np.ones, if you need zeros, you use np.zeros. That's it.
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
add a comment |
This code is creating two lists using list comprehension.
The ds.DESCR and other expressions here can mean anything, depending on the context.
As for your second sub-question, I'd advise to as something more specific.
If you need ones, you use np.ones, if you need zeros, you use np.zeros. That's it.
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
This code is creating two lists using list comprehension.
The ds.DESCR and other expressions here can mean anything, depending on the context.
As for your second sub-question, I'd advise to as something more specific.
If you need ones, you use np.ones, if you need zeros, you use np.zeros. That's it.
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
answered Nov 15 '18 at 22:08
Viacheslav ShalamovViacheslav Shalamov
1,32521532
1,32521532
add a comment |
add a comment |
Np.zeros is great if you for example gradually update your matrix with values. Every entry that is not updated by your algorithm stays zero.
In application this could be a matrix that shows you edges in a picture. You create a matrix of the size of the picture filled with zeros and then go over the picture with an kernel that detects edges. For every edge you detect you increase the value in the matrix at the position of the detected edge.
A matrix or a vector of ones is great to do some matrix multiplications. Assume some vector of shape (n,1) x (1,n) of a Vector filled with ones will expand the vector to a matrix of shape (n,n). This is and similar cases can make a vector/matrix of ones necessary.
answered Nov 15 '18 at 22:09
AussAuss
585
add a comment |
Np.zeros is great if you for example gradually update your matrix with values. Every entry that is not updated by your algorithm stays zero.
In application this could be a matrix that shows you edges in a picture. You create a matrix of the size of the picture filled with zeros and then go over the picture with an kernel that detects edges. For every edge you detect you increase the value in the matrix at the position of the detected edge.
A matrix or a vector of ones is great to do some matrix multiplications. Assume some vector of shape (n,1) x (1,n) of a Vector filled with ones will expand the vector to a matrix of shape (n,n). This is and similar cases can make a vector/matrix of ones necessary.
answered Nov 15 '18 at 22:09
AussAuss
585
add a comment |
Np.zeros is great if you for example gradually update your matrix with values. Every entry that is not updated by your algorithm stays zero.
In application this could be a matrix that shows you edges in a picture. You create a matrix of the size of the picture filled with zeros and then go over the picture with an kernel that detects edges. For every edge you detect you increase the value in the matrix at the position of the detected edge.
A matrix or a vector of ones is great to do some matrix multiplications. Assume some vector of shape (n,1) x (1,n) of a Vector filled with ones will expand the vector to a matrix of shape (n,n). This is and similar cases can make a vector/matrix of ones necessary.
answered Nov 15 '18 at 22:09
AussAuss
585
Np.zeros is great if you for example gradually update your matrix with values. Every entry that is not updated by your algorithm stays zero.
In application this could be a matrix that shows you edges in a picture. You create a matrix of the size of the picture filled with zeros and then go over the picture with an kernel that detects edges. For every edge you detect you increase the value in the matrix at the position of the detected edge.
A matrix or a vector of ones is great to do some matrix multiplications. Assume some vector of shape (n,1) x (1,n) of a Vector filled with ones will expand the vector to a matrix of shape (n,n). This is and similar cases can make a vector/matrix of ones necessary.
answered Nov 15 '18 at 22:09
AussAuss
585
answered Nov 15 '18 at 22:09
AussAuss
585
answered Nov 15 '18 at 22:09
AussAuss
585
answered Nov 15 '18 at 22:09
AussAuss
585
585
add a comment |
add a comment |
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Please re-edit your question because it's hard to understand what is the problem here, also it's hard to understand what some piece of code does when you get only two lines to analyze.
– Picard
Nov 15 '18 at 22:18
I'm supposed to do a comparison between two algorithms on two datasets to see which one has the best performance on which dataset but the problem is that i don't understand how to split the values ? any ideas
– Joseph_
Nov 15 '18 at 22:24