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 325

iabscissa

0==plot versus iteration count, 1==plot versus function evaluation number

iteridx

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

x_opt

if len(x_opt) == dimension, the difference to x_opt is plotted, otherwise the first row of x_opt are the indices of the variables to be plotted and the second row, if present, is used to take the difference.

Return CMADataLogger itself.

Examples

import cma
logger = cma.CMADataLogger()  # with default name
# try to plot the "default logging" data (e.g.
#   from previous fmin calls, which is essentially what
#   also cma.plot() does)
logger.plot()
cma.s.figsave('fig325.png')  # save current figure
logger.figclose()

Dependencies: matlabplotlib.pyplot

Arguments

fig

figure number, by default 425

iabscissa

0==plot versus iteration count, 1==plot versus function evaluation number

iteridx

iteration indices to plot

x_opt

if len(x_opt) == dimension, the difference to x_opt is plotted, otherwise the first row of x_opt are the indices of the variables to be plotted and the second row, if present, is used to take the difference.

Return CMADataLogger itself.

Examples

import cma
logger = cma.CMADataLogger()  # with default name
# try to plot the "default logging" data (e.g.
#   from previous fmin calls, which is essentially what
#   also cma.plot() does)
logger.plot_all()
cma.s.figsave('fig425.png')  # save current figure
logger.s.figclose()

Dependencies: matlabplotlib/pyplot.