Python IrExtractor.has_guess Examples

Example #1

File: extract_features.py Project: EntilZha/qb

from extractors.lm import *
from extractors.deep import *
from extractors.classifier import *
from extractors.wikilinks import *
from extractors.answer_present import AnswerPresent

kMIN_APPEARANCES = 7
kFEATURES = OrderedDict([("ir", None), ("lm", None), ("deep", None),
    ("answer_present", None), ("text", None),
    ("classifier", None), ("wikilinks", None),
    ])

# Add features that actually guess
# TODO: Make this less cumbersome
kHAS_GUESSES = set()
if IrExtractor.has_guess():
    kHAS_GUESSES.add("ir")
if LanguageModel.has_guess():
    kHAS_GUESSES.add("lm")
if TextExtractor.has_guess():
    kHAS_GUESSES.add("text")
if DeepExtractor.has_guess():
    kHAS_GUESSES.add("deep")
if Classifier.has_guess():
    kHAS_GUESSES.add("classifier")
if AnswerPresent.has_guess():
    kHAS_GUESSES.add("answer_present")

kGRANULARITIES = ["sentence"]
kFOLDS = ["dev", "devtest", "test"]
kNEGINF = float("-inf")

Example #2

from extractors.lm import *
from extractors.deep import *
from extractors.classifier import *
from extractors.wikilinks import *
from extractors.answer_present import AnswerPresent

kMIN_APPEARANCES = 5
kFEATURES = OrderedDict([("ir", None), ("lm", None), ("deep", None),
    ("answer_present", None), ("text", None),
    ("classifier", None), ("wikilinks", None),
    ])

# Add features that actually guess
# TODO: Make this less cumbersome
kHAS_GUESSES = set()
if IrExtractor.has_guess():
    kHAS_GUESSES.add("ir")
if LanguageModel.has_guess():
    kHAS_GUESSES.add("lm")
if TextExtractor.has_guess():
    kHAS_GUESSES.add("text")
if DeepExtractor.has_guess():
    kHAS_GUESSES.add("deep")
if Classifier.has_guess():
    kHAS_GUESSES.add("classifier")
if AnswerPresent.has_guess():
    kHAS_GUESSES.add("answer_present")

kGRANULARITIES = ["sentence"]
kFOLDS = ["dev", "devtest", "test"]
kNEGINF = float("-inf")