cma.logger.CMADataLogger

Arguments

idx

indices corresponding to rows in the data file; if idx is a scalar (int), the first two, then every idx-th, and the last three rows are displayed. Too large index values are removed. If idx=='header', the header line is printed.

Example

>>> import cma, numpy as np
>>> res = cma.fmin(cma.ff.elli, 7 * [0.1], 1, {'verb_disp':1e9})  # generate data
...  #doctest: +ELLIPSIS
(4...
>>> assert res[1] < 1e-9
>>> assert res[2] < 4400
>>> l = cma.CMADataLogger()  # == res[-1], logger with default name, "points to" above data
>>> l.disp([0,-1])  # first and last
...  #doctest: +ELLIPSIS
Iterat Nfevals  function value    axis ratio maxstd  minstd...
>>> l.disp(20)  # some first/last and every 20-th line
...  #doctest: +ELLIPSIS
Iterat Nfevals  function value    axis ratio maxstd  minstd...
>>> l.disp(np.r_[0:999999:100, -1]) # every 100-th and last
...  #doctest: +ELLIPSIS
Iterat Nfevals  function value    axis ratio maxstd  minstd...
>>> l.disp(np.r_[0, -10:0]) # first and ten last
...  #doctest: +ELLIPSIS
Iterat Nfevals  function value    axis ratio maxstd  minstd...
>>> cma.disp(l.name_prefix, np.r_[0:9999999:100, -10:])  # the same as l.disp(...)
...  #doctest: +ELLIPSIS
Iterat Nfevals  function value    axis ratio maxstd  minstd...

Details

The data line with the best f-value is displayed as last line.

Use CMADataLogger.disp if the logger does not have the default name.

Arguments

• factor -- downsampling factor
• first -- keep first first entries

• switch -- switch the new logger to the downsampled logger

  original_name+'down'

Details

self.name_prefix+'down' files are written

Example

import cma
cma.downsampling()  # takes outcma/cma* files
cma.plot('outcma/cmadown')

Arguments

fig: figure number, by default starting from 325

iabscissa or abscissa: 0 ==> plot versus iteration count, 1 ==> plot versus function evaluation number

iteridx: the iteration indices to plot, e.g. range(100) for the first 100 evaluations.

plot_mean:bool indicates whether to plot the current best x or the mean.

foffset:float a small value added to f values to improve log-plot appearance.

downsample_to: number of data lines to use at most

x_opt: plot x-values as a difference to another solution and/or select a subset of variables to plot.

If x_opt is a nonnegative int, it is interpreted as iteration number and the difference of x to the respective (closest but not larger) iteration is plotted.

If x_opt is a negative int the respective index rather than the iteration is used. Namely and in particular, x_opt=0 subtracts the initial solution X0 and x_opt=-1 subtracts the final solution of the data.

If len(x_opt) == dimension or x_opt is a float, the difference to x_opt is plotted.

Otherwise: x_opt[0] defines the indices of the variables to be plotted where x_opt[1], if present, is subtracted.

xsemilog:bool: customized semilog plot for x-values

xnormalize:bool: divide x-values by standard deviations, may show stationary

behavior when the optimum is in zero

xtransform:callable is a function that returns transformed x-values, applied before x_opt is subtracted and xnormalize is done.

fshift:float is added to all displayed fitness values

addcols:int is the number of added columns for additional subplots

load:bool=True: load/reload data before to try plotting. Useful as a CMADataLogger instance itself does not load data by default.

message:str: a message text appearing in the plot

Return CMADataLogger itself.

Example

import cma
logger = cma.CMADataLogger()  # with default name
logger.plot()
cma.s.figsave('fig325.png')  # save current figure
logger.figclose()  # or cma.s.figclose()

Details

Data from codes in other languages (C, Java, Matlab, Scilab) have the same format and can be plotted just the same.

Dependencies: matlabplotlib.pyplot

Arguments

See CMADataLogger.plot

Return CMADataLogger itself.