Package dimer :: Package nnet :: Module monitor :: Class Monitor

Class Monitor

object --+
         |
        Monitor

Known Subclasses:

abstract class keep track of a set of parameters in the model or the learning process

Instance Methods

[hide private]

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __init__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Methods

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_empty(cls)

source code

_has_changed(cls, what, patience, data, summ_f, cmp_f)
compares a summary of the last `patience` values defined by the `what` field with the `patience`-1 value

source code

rel_diff(cls, init, final)
(final-init)/max(final, init)

source code

is_min_up(cls, what, memory, data)

source code

is_min_down(cls, what, memory, data)

source code

is_min_still(cls, what, memory, data)

source code

is_max_up(cls, what, memory, data)

source code

is_max_down(cls, what, memory, data)

source code

is_max_still(cls, what, memory, data)

source code

_dump(cls, path, data)

source code

_archive_dump(cls, path, train_run_name, data)

source code

Class Variables

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ftype_frm = {<type 'float'>: '%.6f', <type 'int'>: '%d', <type...

fzero = {<type 'float'>: 0.0, <type 'int'>: 0, <type 'str'>: '...

Properties

[hide private]

csv

report

Inherited from object: __class__

Class Variable Details

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ftype_frm

Value:

{<type 'float'>: '%.6f', <type 'int'>: '%d', <type 'str'>: '%s'}

fzero

Value:

{<type 'float'>: 0.0, <type 'int'>: 0, <type 'str'>: 'NA'}

Property Details

[hide private]

csv

Get Method:: unreachable.csv(self, sep=',')

report

Get Method:: unreachable.report(self)