Example:
$ Timbl -f dimin.train |tt-feat-weight-graph.py
"""
import sys
from tt.argparse import ArgumentParser, RawDescriptionHelpFormatter
from tt.featgraph import (parse_feat_weights, parse_feature_names, graph_table,
print_table)
__author__ = 'Erwin Marsi <*****@*****.**>'
__version__ = "0.5"
parser = ArgumentParser(description=__doc__,
version="%(prog)s version " + __version__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-n",
"--names",
metavar="FILE",
help="file with feature names, one per line")
parser.add_argument("-t",
"--table",
action='store_true',
help="also print feature weight table")
args = parser.parse_args()
if args.names:
Reads Timbl instances from standard input and writes a class distribution in
the form of an ascii table to standard output.
Example:
$ tt-class-dist.py -d, < ../data/dimin.train
"""
import sys
from tt.argparse import ArgumentParser, RawDescriptionHelpFormatter
from tt.sample import get_class_counts, print_class_dist
__author__ = 'Erwin Marsi <*****@*****.**>'
__version__ = "0.5"
parser = ArgumentParser(description=__doc__,
version="%(prog)s version " + __version__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-d",
"--delimiter",
default=None,
metavar="CHAR",
help="field delimiter in instances "
"(default is whitespace)")
args = parser.parse_args()
class_counts = get_class_counts(sys.stdin, sep=args.delimiter)
print_class_dist(class_counts)
Example:
$ tt-down-sample.py T:0.1 -d, < ../data/dimin.train
"""
import sys
from tt.argparse import ArgumentParser, RawDescriptionHelpFormatter
from tt.sample import sample_down
__author__ = 'Erwin Marsi <*****@*****.**>'
__version__ = "0.5"
parser = ArgumentParser(description=__doc__,
version="%(prog)s version " + __version__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("class_fracts",
metavar="CLASS:FRACTION",
nargs="+",
help="targeted size reduction per class ")
parser.add_argument("-d", "--delimiter",
default=None,
metavar="CHAR",
help="field delimiter in instances "
"(default is whitespace)")
args = parser.parse_args()
"""
import sys
from tt.argparse import ArgumentParser, RawDescriptionHelpFormatter
from tt.featgraph import ( parse_feat_weights,
parse_feature_names,
graph_table,
print_table )
__author__ = 'Erwin Marsi <*****@*****.**>'
__version__ = "0.5"
parser = ArgumentParser(description=__doc__,
version="%(prog)s version " + __version__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-n", "--names",
metavar="FILE",
help="file with feature names, one per line")
parser.add_argument("-t", "--table",
action='store_true',
help="also print feature weight table")
args = parser.parse_args()
if args.names:
Reads Timbl instances from standard input and writes a class distribution in
the form of an ascii table to standard output.
Example:
$ tt-class-dist.py -d, < ../data/dimin.train
"""
import sys
from tt.argparse import ArgumentParser, RawDescriptionHelpFormatter
from tt.sample import get_class_counts, print_class_dist
__author__ = 'Erwin Marsi <*****@*****.**>'
__version__ = "0.5"
parser = ArgumentParser(description=__doc__,
version="%(prog)s version " + __version__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-d", "--delimiter",
default=None,
metavar="CHAR",
help="field delimiter in instances "
"(default is whitespace)")
args = parser.parse_args()
class_counts = get_class_counts(sys.stdin, sep=args.delimiter)
print_class_dist(class_counts)
