def main(args, _in):
import pandas as pd
data = [parse_bow(line)
for line in map(lambda x: x.strip(), _in.read().split("\n"))
if len(line) > 0
]
df = pd.DataFrame(data)
group = df.groupby("label")
t = group.sum().transpose()
t["diff"] = abs(t[-1] - t[1])/(t[-1] + t[1])
t["usage"] = t[-1] + t[1]
columns = t[(t["diff"] >= args.n) & (t["usage"] > 5)].index
with open(args.m, "w") as f:
f.write("\n".join(columns))
def main(args, _in):
import pandas as pd
data = [
parse_bow(line) for line in map(lambda x: x.strip(),
_in.read().split("\n"))
if len(line) > 0
]
df = pd.DataFrame(data)
group = df.groupby("label")
t = group.sum().transpose()
t["diff"] = abs(t[-1] - t[1]) / (t[-1] + t[1])
t["usage"] = t[-1] + t[1]
columns = t[(t["diff"] >= args.n) & (t["usage"] > 5)].index
with open(args.m, "w") as f:
f.write("\n".join(columns))
def main(args, _in, _out):
import pandas as pd
from rank.util.feature import parse_bow, vw_model
with open(args.m, "r") as f:
mask = list(map(lambda x: x.strip(), f.read().split("\n")))
data = [parse_bow(line)
for line in map(lambda x: x.strip(), _in.read().split("\n"))
if len(line) > 0
]
df = pd.DataFrame(data)
filtered = df[mask]
for label, line in zip(df["label"], filtered.values):
_out.write("{0}\n".format(vw_model(" ".join(
map(lambda x: "{0}:{1}".format(*x), zip(filtered.columns, line))), label)
))
def main(args, _in, _out):
import pandas as pd
from rank.util.feature import parse_bow, vw_model
with open(args.m, "r") as f:
mask = list(map(lambda x: x.strip(), f.read().split("\n")))
data = [
parse_bow(line) for line in map(lambda x: x.strip(),
_in.read().split("\n"))
if len(line) > 0
]
df = pd.DataFrame(data)
filtered = df[mask]
for label, line in zip(df["label"], filtered.values):
_out.write("{0}\n".format(
vw_model(
" ".join(
map(lambda x: "{0}:{1}".format(*x),
zip(filtered.columns, line))), label)))
