本文整理汇总了Python中kyotocabinet.DB.increment方法的典型用法代码示例。如果您正苦于以下问题：Python DB.increment方法的具体用法？Python DB.increment怎么用？Python DB.increment使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类kyotocabinet.DB的用法示例。
在下文中一共展示了DB.increment方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: FeatureSelector
# 需要导入模块: from kyotocabinet import DB [as 别名]
# 或者: from kyotocabinet.DB import increment [as 别名]
#.........这里部分代码省略.........
def train( self, row ):
( y, c, b, x ) = row;
if self._len_c is None:
self._len_c = len(c);
assert self._len_c == len(c);
if self._len_b is None:
self._len_b = len(b);
assert self._len_b == len(b);
if self._len_x is None:
self._len_x = len(x);
assert self._len_x == len(x);
row = c + b + x;
if Frontend.train( self, row ):
return True;
keyfmt = '>IIIII';
for i in range( 0, self._lenrow ):
for j in range( 0, self._lenrow ):
if ( i >= j ) and ( not ( i == self._lenrow-1 ) ):
continue;
key = pack( keyfmt, i, j, y, row[i], row[j] );
try:
assert self._kdb.increment( key, 1, 0 );
except:
print( str(self._kdb.error()) );
raise;
def _stats( self, cnt_by_a, cnt_by_b, cnt_by_ab ):
h_a = 0.0;
h_b = 0.0;
h_ab = 0.0;
for ( val_a, cnt ) in cnt_by_a.items():
p = float(cnt) / float(self._rowcount);
if p > 0.0:
h_a -= p * log( p, 2.0 );
for ( val_b, cnt ) in cnt_by_b.items():
p = float(cnt) / float(self._rowcount);
if p > 0.0:
h_b -= p * log( p, 2.0 );
for( (val_a,val_b), cnt ) in cnt_by_ab.items():
p = float(cnt) / float(self._rowcount);
if p > 0.0:
h_ab -= p * log( p, 2.0 );
if h_a == 0.0:
return 1.0;
if h_b == 0.0:
return 1.0;
示例2: BKNNModel
# 需要导入模块: from kyotocabinet import DB [as 别名]
# 或者: from kyotocabinet.DB import increment [as 别名]
#.........这里部分代码省略.........
( y, c, b, x ) = row;
c = self._fsel.apply_c( self._catfe( c ) );
b = self._fsel.apply_b( self._binfe( b ) );
x = self._contfe( x );
x_ = self._fdisc( x );
x = self._fsel.apply_x( x );
x_ = self._fsel.apply_x( x_ );
if False:
print( y, c, b, x, x_ );
if self._len_c is None:
self._len_c = len(c);
assert self._len_c == len(c);
if self._len_b is None:
self._len_b = len(b);
assert self._len_b == len(b);
if self._len_x is None:
self._len_x = len(x);
assert self._len_x == len(x);
if self._rowcount is None:
self._rowcount = 0;
self._rowcount += 1;
dkeyfmt = '>' + ( 'I' * ( 1 + self._len_c + self._len_b ) );
self._ddata.increment( pack( dkeyfmt, y, *(c+b) ), 1, 0 );
ckeyfmt = '>' + ( 'I' * len(x) );
cvalfmt = '>I' + ( 'f' * len(x) );
self._cdata.append( pack( ckeyfmt, *x_ ), pack( cvalfmt, y, *x ) );
if len( self._sample_x ) < 50000:
assert len( self._sample_x ) == len( self._sample_y );
assert len( self._sample_x ) == len( self._sample_c );
assert len( self._sample_x ) == len( self._sample_b );
assert len( self._sample_x ) == len( self._sample_x_ );
self._sample_y.append( y );
self._sample_c.append( c );
self._sample_b.append( b );
self._sample_x.append( x );
self._sample_x_.append( x_ );
return False;
def _init( self ):
self._needs_initialization = False;
c = self._ddata.cursor();
c.jump();
keyfmt = '>' + ( 'I' * ( 1 + self._len_c + self._len_b ) );
valfmt = '>Q';