コード例 #1
0
ファイル: Model.py プロジェクト: sandguine/LOTlib3
def make_data(n=1, alpha=0.999):
    return [
        FunctionData(input=[Obj(shape='square', color='red')],
                     output=True,
                     alpha=alpha),
        FunctionData(input=[Obj(shape='square', color='blue')],
                     output=False,
                     alpha=alpha),
        FunctionData(input=[Obj(shape='triangle', color='blue')],
                     output=False,
                     alpha=alpha),
        FunctionData(input=[Obj(shape='triangle', color='red')],
                     output=False,
                     alpha=alpha)
    ] * n
コード例 #2
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def load_words_and_data(path):
    """
    Takes a data path and return [words, data]
    """

    # Load the data
    data = []
    with open(path, 'r') as f:
        for l in f:
            if re.match(r"\s*#", l): continue  # skip comments
            if not re.match(r"[^\s]", l): continue  # skip whitespace

            lhs, output = re.split(r"\s*=\s*", l.strip())
            args = re.split(r"\s+", lhs)

            data.append(FunctionData(input=args, output=output))
            #print "Loading data", args, "->", output

    # Figure out all the words! (here, tokens)
    words = set()
    for di in data:
        words.add(di.output)
        [words.add(x) for x in di.input]
    words = list(words)

    return [words, data]
コード例 #3
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ファイル: Model.py プロジェクト: sandguine/LOTlib3
def make_data(n=1):
    return [
        FunctionData(
            input=[{Obj(color='red'),
                    Obj(color='red'),
                    Obj(color='green')}],
            output=True,
            alpha=0.99)
    ] * n
コード例 #4
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def make_data(size=1, alpha=0.99):
    return [FunctionData(input=['aaaa'], output=True, alpha=alpha),
            FunctionData(input=['aaab'], output=False, alpha=alpha),
            FunctionData(input=['aabb'], output=False, alpha=alpha),
            FunctionData(input=['aaba'], output=False, alpha=alpha),
            FunctionData(input=['aca'], output=True, alpha=alpha),
            FunctionData(input=['aaca'], output=True, alpha=alpha),
            FunctionData(input=['a'], output=True, alpha=alpha)] * size
コード例 #5
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ファイル: Model.py プロジェクト: sandguine/LOTlib3
def make_data(n=1):
    return [
        FunctionData(input=[1000.], output=1500., ll_sd=data_sd),
        FunctionData(input=[828.], output=1340., ll_sd=data_sd),
        FunctionData(input=[800.], output=1328., ll_sd=data_sd),
        FunctionData(input=[600.], output=1172., ll_sd=data_sd),
        FunctionData(input=[300.], output=800., ll_sd=data_sd),
        FunctionData(input=[0.], output=0.,
                     ll_sd=data_sd)  # added 0,0 since it makes physical sense.
    ] * n
コード例 #6
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ファイル: Model.py プロジェクト: sandguine/LOTlib3
def make_data(data_size=300, alpha=0.75):
    """
    Sample some data according to the target
    """
    data = []
    for i in range(data_size):
        # how many in this set
        set_size = weighted_sample(
            list(range(1, 10 + 1)),
            probs=[7187, 1484, 593, 334, 297, 165, 151, 86, 105, 112])
        # get the objects in the current set
        s = set(sample_sets_of_objects(set_size, all_objects))

        # sample according to the target
        if random() < alpha: r = WORDS[len(s) - 1]
        else: r = weighted_sample(WORDS)

        # and append the sampled utterance
        data.append(FunctionData(input=[s], output=r, alpha=alpha))
    return data
コード例 #7
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def make_data(n=1, alpha=0.99):
    data = []
    for x in range(1, 10):
        data.append( FunctionData(input=['even', x], output=(x % 2 == 0), alpha=alpha) )
        data.append( FunctionData(input=['odd',  x], output=(x % 2 == 1), alpha=alpha) )
    return data*n