Python compute_ratioの例

コード例 #1

def compute_nb(X, y, Z):
    labels = [int(t) for t in y]
    ptrain = [X[i] for i in range(len(labels)) if labels[i] == 0]
    ntrain = [X[i] for i in range(len(labels)) if labels[i] == 1]
    poscounts = nbsvm.build_dict(ptrain, [1,2])
    negcounts = nbsvm.build_dict(ntrain, [1,2])
    dic, r = nbsvm.compute_ratio(poscounts, negcounts)
    trainX = nbsvm.process_text(X, dic, r, [1,2])
    devX = nbsvm.process_text(Z, dic, r, [1,2])
    return trainX, devX

コード例 #2

ファイル: eval_classification.py プロジェクト: 12190143/skip-thoughts

def compute_nb(X, y, Z):
    """
    Compute NB features
    """
    labels = [int(t) for t in y]
    ptrain = [X[i] for i in range(len(labels)) if labels[i] == 0]
    ntrain = [X[i] for i in range(len(labels)) if labels[i] == 1]
    poscounts = nbsvm.build_dict(ptrain, [1,2])
    negcounts = nbsvm.build_dict(ntrain, [1,2])
    dic, r = nbsvm.compute_ratio(poscounts, negcounts)
    trainX = nbsvm.process_text(X, dic, r, [1,2])
    devX = nbsvm.process_text(Z, dic, r, [1,2])
    return trainX, devX