____                                       
/\  _`\                                     
\ \,\L\_\  __  __  __     __     __  __     
 \/_\__ \ /\ \/\ \/\ \  /'__`\  /\ \/\ \    
   /\ \L\ \ \ \_/ \_/ \/\ \L\.\_\ \ \_\ \   
   \ `\____\ \___x___/'\ \__/.\_\\/`____ \  
    \/_____/\/__//__/   \/__/\/_/ `/___/> \ 
                                     /\___/ 
                                     \/__/  

Definitions

sway:

• verb
  • move or cause to move slowly or rhythmically backward and forward or from side to side. "he swayed slightly on his feet". synonyms: swing, shake, oscillate, undulate, move to and fro, move back and forth More
• noun
  • rule; control. "the part of the continent under Russia's sway". synonyms: clout, influence, power, weight, authority, control "his opinions have a lot of sway"

Conventions

Settings

Magic parameters are stored in functions that start with an UPPER CASE name and are decorated by @setting. e,g

@setting
def CUT(): return o( 
  crowded=4, 
  cohen=0.1,
  fayyad=False
)

Once written that way, we say that the above numbers are the defaults for the global dictionary the.CUT.

These parameters can be accessed in the natural way:

the.CUT.cohen    # returns 0.1

The defaults can be altered as follows:

CUT(cohen=0.2)

These values can be reset to their initial defaults using:

 reset(seed=1)

This call finds all sets and sets them back to their defaults (as well as resetting the random number seed to "1").

Status

Every file tests itself; e.g. to run scripts in boot.py:

python boot.py

The following files (that have check marks) currently are passing their tests:

• boot.py
• lib.py
• counts.py
• space.py
• grid.py
• mutate.py
• model.py
• models.py # tournament
• control.py

Conclusions, so far

The Fonseca Effect

99% of all items in one cell.

The ZDT1 effect1

Cells where objectives X and Y both get better may be in different locations.

The ZDT1 effect2

"Good" cells (with more than N items) may be islands (not form 1 clump).

The Variance effect

The IQR was not much reduced in bins than overall.

Centrality Works, ish

• Evaluate N items in a bin. Compute the mean values of the N objective in that bin.
• Select bins where the mean score of any objective is less the mean objective of all bins.

Two treatments:

1. Evaluate all items in all bins
2. Evaluate just the item near the middle of each bin.

Rx2 selects many of the same bins as selected by Rx1.

Many are Called, Few are Chosen

Given B*B bins, less than a dozen have more than 10 items and selected by the centrality works, ish method.