def parse_args(args=None):
parser = PathArgumentParser(
description="Simulate data and/or run analysis")
parser.add_argument(
'--logging', type=str, default='WARN', help="Logging level",
choices=[key for key in logging._levelNames.keys() if isinstance(key, str)])
subparsers = parser.add_subparsers()
p_simul = subparsers.add_parser('simulate', help='generate simulation')
add_simul_args(p_simul)
p_simul.add_argument(
'--output', type=GzipFileType('w'), default=sys.stdout, help='File output')
p_simul.set_defaults(func=do_simulation)
p_clust = subparsers.add_parser('cluster', help='run clustering')
p_clust.add_argument(
'--input', type=GzipFileType('r'), default=sys.stdin, help='File input')
add_clust_args(p_clust)
p_clust.add_argument(
'--output', type=GzipFileType('w'), default=sys.stdout, help='File output')
p_clust.set_defaults(func=do_cluster)
p_analy = subparsers.add_parser('analyze', help='run analysis')
p_analy.add_argument(
'--input', type=GzipFileType('r'), default=sys.stdin, help='File input')
add_analy_args(p_analy)
p_analy.add_argument(
'--output', type=GzipFileType('w'), default=sys.stdout, help='File output')
p_analy.set_defaults(func=do_analyze)
p_mapper = subparsers.add_parser(
'mapper', help='Perform multiple steps')
add_simul_args(p_mapper)
add_clust_args(p_mapper)
add_analy_args(p_mapper)
p_mapper.add_argument(
'--output', type=GzipFileType('w'), default=sys.stdout, help='File output')
p_mapper.set_defaults(func=do_mapper)
p_reducer = subparsers.add_parser('reducer', help='summarize analysis results')
add_analy_args(p_reducer)
p_reducer.add_argument(
'--input', type=GzipFileType('r'), default=sys.stdin, help='File input')
p_reducer.add_argument(
'--fig_title', type=str, default=None, help='Title (for figures generated)')
p_reducer.add_argument(
'--fig_format', type=str, default='svg', help='Figure format')
p_reducer.add_argument(
'--output', type=str, metavar='DIR', help='Output directory')
p_reducer.set_defaults(func=do_reducer)
namespace = parser.parse_args()
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument(
"--logging",
type=str,
default="WARN",
help="Logging level",
choices=[key for key in logging._levelNames.keys() if isinstance(key, str)],
)
subparsers = parser.add_subparsers()
p_mapper = subparsers.add_parser("mapper")
p_mapper.add_argument("--h0_err", type=float, default=1.0, help="H0 error rate")
p_mapper.add_argument("--h1_err", type=float, default=0.5, help="H1 error rate")
p_mapper.add_argument("--population_size", type=int, default=2000, help="population size")
p_mapper.add_argument("--sim_size", type=int, default=1000, help="Simulation size")
p_mapper.add_argument("--nclusters", type=int, default=20, help="number of clusters to generate")
p_mapper.add_argument("--join_negatives", type=int, default=0, help="whether to join negatives (if split_join<0)")
p_mapper.add_argument(
"--split_join", type=int, default=0, help="number of splits (if positive) or joins (if negative) to perform"
)
p_mapper.add_argument("--sampling_warnings", type=int, default=0, help="if true, show sampling warnings")
p_mapper.add_argument("--output", type=GzipFileType("w"), default=sys.stdout, help="Output file")
p_mapper.add_argument("--metrics", type=str, required=True, nargs="*", help="Which metrics to compute")
p_mapper.set_defaults(func=do_mapper)
p_reducer = subparsers.add_parser("reducer")
p_reducer.add_argument("--group_by", type=str, default=None, help="Field to group by")
p_reducer.add_argument("--x_axis", type=str, default=None, help="Which column to plot as X axis")
p_reducer.add_argument("--metrics", type=str, required=True, nargs="*", help="Which metrics to compute")
p_reducer.add_argument("--input", type=GzipFileType("r"), default=sys.stdin, help="File input")
p_reducer.add_argument("--output", type=str, metavar="DIR", help="Output directory")
p_reducer.add_argument("--fig_title", type=str, default=None, help="Title (for figures generated)")
p_reducer.add_argument("--fig_format", type=str, default="svg", help="Figure format")
p_reducer.add_argument("--legend_loc", type=str, default="lower left", help="legend location")
p_reducer.set_defaults(func=do_reducer)
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--input', type=GzipFileType('r'), default=[sys.stdin], nargs='*',
help='Input file (in TSV format, optionally compressed)')
parser.add_argument('--field', type=str, default='review',
help='Field name (Default: review)')
parser.add_argument('--limit', type=int, default=None,
help='Only process this many lines (for testing)')
parser.add_argument('--n_jobs', type=int, default=-1,
help="Number of jobs to run")
parser.add_argument('--output', type=GzipFileType('w'), default=sys.stdout,
help='Output file')
subparsers = parser.add_subparsers()
parser_tokenize = subparsers.add_parser('tokenize')
parser_tokenize.add_argument('--sentences', action='store_true',
help='split on sentences')
parser_tokenize.set_defaults(func=run_tokenize)
parser_train = subparsers.add_parser('train')
parser_train.add_argument('--verbose', action='store_true',
help='be verbose')
parser_train.set_defaults(func=train_sentence_tokenizer)
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--input', type=str, metavar='FILE', nargs='+',
help='Input files')
parser.add_argument('--field', type=str, default='review',
help='Field name (Default: review)')
parser.add_argument('--verbose', action='store_true',
help='be verbose')
parser.add_argument('--output', type=str, required=True,
help='where to save the model to')
parser.add_argument('--limit', type=int, default=None,
help='(for debugging) limit input to n lines')
parser.add_argument('--corpus_model', type=str, default=None,
help='where corpus model lives (GloVe)')
parser.add_argument('--workers', type=int, default=multiprocessing.cpu_count(),
help='Number of workers to use (default: same as number of CPUs)')
parser.add_argument('--doc2vec', action='store_true',
help='use Doc2Vec instead of Word2Vec model')
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--embedding',
type=str,
metavar='FILE',
default=None,
help='Input word2vec (or doc2vec) model')
parser.add_argument('--train',
type=str,
metavar='FILE',
default=None,
help='(Labeled) training set')
parser.add_argument('--plot_features',
type=str,
default=None,
help='file to save feature comparison to')
parser.add_argument(
'--sentences',
type=GzipFileType('r'),
default=None,
help='File containing sentences in JSON format (implies doc2vec)')
parser.add_argument(
'--vectors',
metavar='FILE',
type=str,
default=None,
help='File containing sentence vectors in Pickle format')
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--embedding', type=str, metavar='FILE', default=None,
help='Input word2vec (or doc2vec) model')
parser.add_argument('--train', type=str, metavar='FILE', default=None,
help='(Labeled) training set')
parser.add_argument('--plot_features', type=str, default=None,
help='file to save feature comparison to')
parser.add_argument('--sentences', type=GzipFileType('r'), default=None,
help='File containing sentences in JSON format (implies doc2vec)')
parser.add_argument('--vectors', metavar='FILE', type=str, default=None,
help='File containing sentence vectors in Pickle format')
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--input', type=str, metavar='FILE', nargs='+',
help='Input files')
parser.add_argument('--verbose', action='store_true',
help='be verbose')
parser.add_argument('--output', type=str, required=True,
help='where to save the model to')
parser.add_argument('--limit', type=int, default=None,
help='(for debugging) limit input to n lines')
parser.add_argument('--corpus_model', type=str, default=None,
help='where corpus model lives (GloVe)')
parser.add_argument('--workers', type=int, default=multiprocessing.cpu_count(),
help='Number of workers to use (default: same as number of CPUs)')
parser.add_argument('--doc2vec', action='store_true',
help='use Doc2Vec instead of Word2Vec model')
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--input_labeled', type=GzipFileType('r'),
default=(), required=False, nargs='*',
help='Labeled input files (TSV format, optionally compressed)')
parser.add_argument('--input_unlabeled', type=GzipFileType('r'),
default=(), required=False, nargs='*',
help='Unlabeled input files (TSV format, optionally compressed)')
parser.add_argument('--n_jobs', type=int, default=-1,
help="Number of jobs to run")
parser.add_argument('--output', type=GzipFileType('w'), default=sys.stdout,
help='Output file')
subparsers = parser.add_subparsers()
parser_tokenize = subparsers.add_parser('tokenize')
parser_tokenize.add_argument('--sentences', action='store_true',
help='split on sentences')
parser_tokenize.set_defaults(func=run_tokenize)
parser_train = subparsers.add_parser('train')
parser_train.add_argument('--verbose', action='store_true',
help='be verbose')
parser_train.set_defaults(func=train_sentence_tokenizer)
namespace = parser.parse_args(args)
return namespace
def parse_args(args=None):
parser = PathArgumentParser()
parser.add_argument('--logging',
type=str,
default='WARN',
help="Logging level",
choices=[
key for key in logging._levelNames.keys()
if isinstance(key, str)
])
subparsers = parser.add_subparsers()
p_mapper = subparsers.add_parser('mapper')
p_mapper.add_argument('--h0_err',
type=float,
default=1.0,
help='H0 error rate')
p_mapper.add_argument('--h1_err',
type=float,
default=0.5,
help='H1 error rate')
p_mapper.add_argument('--population_size',
type=int,
default=2000,
help='population size')
p_mapper.add_argument('--sim_size',
type=int,
default=1000,
help='Simulation size')
p_mapper.add_argument('--nclusters',
type=int,
default=20,
help='number of clusters to generate')
p_mapper.add_argument('--join_negatives',
type=int,
default=0,
help='whether to join negatives (if split_join<0)')
p_mapper.add_argument(
'--split_join',
type=int,
default=0,
help='number of splits (if positive) or joins (if negative) to perform'
)
p_mapper.add_argument('--sampling_warnings',
type=int,
default=0,
help='if true, show sampling warnings')
p_mapper.add_argument('--output',
type=GzipFileType('w'),
default=sys.stdout,
help='Output file')
p_mapper.add_argument('--metrics',
type=str,
required=True,
nargs='*',
help='Which metrics to compute')
p_mapper.set_defaults(func=do_mapper)
p_reducer = subparsers.add_parser('reducer')
p_reducer.add_argument('--group_by',
type=str,
default=None,
help='Field to group by')
p_reducer.add_argument('--x_axis',
type=str,
default=None,
help='Which column to plot as X axis')
p_reducer.add_argument('--metrics',
type=str,
required=True,
nargs='*',
help='Which metrics to compute')
p_reducer.add_argument('--input',
type=GzipFileType('r'),
default=sys.stdin,
help='File input')
p_reducer.add_argument('--output',
type=str,
metavar='DIR',
help='Output directory')
p_reducer.add_argument('--fig_title',
type=str,
default=None,
help='Title (for figures generated)')
p_reducer.add_argument('--fig_format',
type=str,
default='svg',
help='Figure format')
p_reducer.add_argument('--legend_loc',
type=str,
default='lower left',
help='legend location')
p_reducer.set_defaults(func=do_reducer)
namespace = parser.parse_args(args)
return namespace
