What is the best approach for learning the relationship of two dataframes affecting values of a given list?
I have a the following dataset of pandas dataframes:
A:
col1 col2
0 5 3
1 5 4
B:
col1 col2
0 6 4
1 2 4
my_list:
[24.5, 65.4]
Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values in my_list.
Provided that I want to achieve [65.0, 46.21] in my_list, I need to find out what values need to be present in A,B dataframes.
I am looking for suggestions what would be the best solution to this problem? A simple ML algorithm? A deep learning model? If so, which one should I be using?
Please note that my dataset is small as 30 and I am looking to achieve a value as close as possible to the desired my_list value.
Any suggestions will be highly appreciated.
python algorithm pandas dataframe deep-learning
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
add a comment |
I have a the following dataset of pandas dataframes:
A:
col1 col2
0 5 3
1 5 4
B:
col1 col2
0 6 4
1 2 4
my_list:
[24.5, 65.4]
Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values in my_list.
Provided that I want to achieve [65.0, 46.21] in my_list, I need to find out what values need to be present in A,B dataframes.
I am looking for suggestions what would be the best solution to this problem? A simple ML algorithm? A deep learning model? If so, which one should I be using?
Please note that my dataset is small as 30 and I am looking to achieve a value as close as possible to the desired my_list value.
Any suggestions will be highly appreciated.
python algorithm pandas dataframe deep-learning
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
@U9-Forward My desired output ismy_list = [65.0, 46.21]
– sshussain270
Nov 23 '18 at 2:10
One that works?
– wwii
Nov 23 '18 at 2:15
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28
add a comment |
I have a the following dataset of pandas dataframes:
A:
col1 col2
0 5 3
1 5 4
B:
col1 col2
0 6 4
1 2 4
my_list:
[24.5, 65.4]
Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values in my_list.
Provided that I want to achieve [65.0, 46.21] in my_list, I need to find out what values need to be present in A,B dataframes.
I am looking for suggestions what would be the best solution to this problem? A simple ML algorithm? A deep learning model? If so, which one should I be using?
Please note that my dataset is small as 30 and I am looking to achieve a value as close as possible to the desired my_list value.
Any suggestions will be highly appreciated.
python algorithm pandas dataframe deep-learning
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
I have a the following dataset of pandas dataframes:
A:
col1 col2
0 5 3
1 5 4
B:
col1 col2
0 6 4
1 2 4
my_list:
[24.5, 65.4]
Assume I have a dataset of thirty A,B,my_list pairs which have different sets of values. Changing a single or multiple values in either or both of the dataframes A and B affect the values in my_list.
Provided that I want to achieve [65.0, 46.21] in my_list, I need to find out what values need to be present in A,B dataframes.
I am looking for suggestions what would be the best solution to this problem? A simple ML algorithm? A deep learning model? If so, which one should I be using?
Please note that my dataset is small as 30 and I am looking to achieve a value as close as possible to the desired my_list value.
Any suggestions will be highly appreciated.
python algorithm pandas dataframe deep-learning
python algorithm pandas dataframe deep-learning
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
asked Nov 23 '18 at 1:58
sshussain270sshussain270
475418
475418
Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
@U9-Forward My desired output ismy_list = [65.0, 46.21]
– sshussain270
Nov 23 '18 at 2:10
One that works?
– wwii
Nov 23 '18 at 2:15
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28
add a comment |
Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
@U9-Forward My desired output ismy_list = [65.0, 46.21]
– sshussain270
Nov 23 '18 at 2:10
One that works?
– wwii
Nov 23 '18 at 2:15
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28
Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
@U9-Forward My desired output is
my_list = [65.0, 46.21]– sshussain270
Nov 23 '18 at 2:10
@U9-Forward My desired output is
my_list = [65.0, 46.21]– sshussain270
Nov 23 '18 at 2:10
One that works?
– wwii
Nov 23 '18 at 2:15
One that works?
– wwii
Nov 23 '18 at 2:15
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28
add a comment |
1 Answer
1
active
oldest
votes
Sounds like you need a regression algorithm.
May I translate your task to: given 8 positional inputs, find a general formula, that produces the output closest to the desired output. This is a typical regression problem and you have many powerful tools you can use.
Given that your dataset is small, you'd better start with simple algorithms such as linear regression, then move to more complicated ones such as support vector machines if necessary.
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Sounds like you need a regression algorithm.
May I translate your task to: given 8 positional inputs, find a general formula, that produces the output closest to the desired output. This is a typical regression problem and you have many powerful tools you can use.
Given that your dataset is small, you'd better start with simple algorithms such as linear regression, then move to more complicated ones such as support vector machines if necessary.
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
add a comment |
Sounds like you need a regression algorithm.
May I translate your task to: given 8 positional inputs, find a general formula, that produces the output closest to the desired output. This is a typical regression problem and you have many powerful tools you can use.
Given that your dataset is small, you'd better start with simple algorithms such as linear regression, then move to more complicated ones such as support vector machines if necessary.
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
add a comment |
Sounds like you need a regression algorithm.
May I translate your task to: given 8 positional inputs, find a general formula, that produces the output closest to the desired output. This is a typical regression problem and you have many powerful tools you can use.
Given that your dataset is small, you'd better start with simple algorithms such as linear regression, then move to more complicated ones such as support vector machines if necessary.
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
Sounds like you need a regression algorithm.
May I translate your task to: given 8 positional inputs, find a general formula, that produces the output closest to the desired output. This is a typical regression problem and you have many powerful tools you can use.
Given that your dataset is small, you'd better start with simple algorithms such as linear regression, then move to more complicated ones such as support vector machines if necessary.
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
answered Nov 23 '18 at 2:46
Kevin FangKevin Fang
1,296317
1,296317
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
add a comment |
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
they are not positional inputs, simple integers.
– sshussain270
Nov 24 '18 at 20:09
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
@sshussain270 but they are at specific positions right
– Kevin Fang
Nov 25 '18 at 22:33
add a comment |
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Just missing desired output...
– U9-Forward
Nov 23 '18 at 2:07
@U9-Forward My desired output is
my_list = [65.0, 46.21]– sshussain270
Nov 23 '18 at 2:10
One that works?
– wwii
Nov 23 '18 at 2:15
@wwii what do you mean? I don't follow.
– sshussain270
Nov 23 '18 at 2:28