Scipy Differential Evolution - init specifying start
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Problematic code:
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
init : str or array-like, optional
Specify which type of population initialization is performed. Should be one of:
array specifying the initial population. The array should have shape (M, len(x)), where len(x) is the number of parameters. init is clipped to bounds before use.
I am trying to specifying a known starting point for an optimisation. The shape of my array is (1,99), I get the below ValueError
Error:
ValueError("The population supplied needs to have shape (M, len(x)), where M > 4.")
I am unsure of what M actually is? and am unable to find it anywhere in the documentation. Could anyone help with explaining this.
python scipy differential-evolution
add a comment |
Problematic code:
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
init : str or array-like, optional
Specify which type of population initialization is performed. Should be one of:
array specifying the initial population. The array should have shape (M, len(x)), where len(x) is the number of parameters. init is clipped to bounds before use.
I am trying to specifying a known starting point for an optimisation. The shape of my array is (1,99), I get the below ValueError
Error:
ValueError("The population supplied needs to have shape (M, len(x)), where M > 4.")
I am unsure of what M actually is? and am unable to find it anywhere in the documentation. Could anyone help with explaining this.
python scipy differential-evolution
1
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
1
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15
add a comment |
Problematic code:
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
init : str or array-like, optional
Specify which type of population initialization is performed. Should be one of:
array specifying the initial population. The array should have shape (M, len(x)), where len(x) is the number of parameters. init is clipped to bounds before use.
I am trying to specifying a known starting point for an optimisation. The shape of my array is (1,99), I get the below ValueError
Error:
ValueError("The population supplied needs to have shape (M, len(x)), where M > 4.")
I am unsure of what M actually is? and am unable to find it anywhere in the documentation. Could anyone help with explaining this.
python scipy differential-evolution
Problematic code:
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
init : str or array-like, optional
Specify which type of population initialization is performed. Should be one of:
array specifying the initial population. The array should have shape (M, len(x)), where len(x) is the number of parameters. init is clipped to bounds before use.
I am trying to specifying a known starting point for an optimisation. The shape of my array is (1,99), I get the below ValueError
Error:
ValueError("The population supplied needs to have shape (M, len(x)), where M > 4.")
I am unsure of what M actually is? and am unable to find it anywhere in the documentation. Could anyone help with explaining this.
python scipy differential-evolution
python scipy differential-evolution
edited Jan 3 at 12:32
Sashi
91221022
91221022
asked Jan 3 at 6:54
J.BJ.B
61
61
1
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
1
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15
add a comment |
1
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
1
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15
1
1
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
1
1
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15
add a comment |
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1
Welcome to stack overflow. Please add a code snippet so it is easier to understand what you are trying to do with the code and what might be going wrong.
– Sashi
Jan 3 at 6:58
result = differential_evolution(GA_optimisation, bounds, init=initial_GA_params, args=args)
– J.B
Jan 3 at 7:12
Above is how I call the function, below is the error
– J.B
Jan 3 at 7:13
_raise ValueError("The population supplied needs to have shape" ValueError: The population supplied needs to have shape (M, len(x)), where M > 4. _
– J.B
Jan 3 at 7:13
1
Please check the guidelines on how to ask a good question - stackoverflow.com/help/how-to-ask and how to create a good code snippet - stackoverflow.com/help/mcve Without these, you are unlikely to get any help.
– Sashi
Jan 3 at 7:15