8、人机协同机器学习入门与不确定性采样解析

人机协同机器学习入门与不确定性采样解析

1. 人机协同机器学习起步

在人机协同机器学习中，我们可以通过以下代码来选择异常值：

while(len(outliers) < number):
    top_outlier = []
    top_match = float("inf")
    for item in unlabeled_data:
        textid = item[0]
        if textid in already_labeled:
            continue
        text = item[1]
        features = text.split()
        total_matches = 1 # start at 1 for slight smoothing 
        for feature in features:
            if feature in total_feature_counts:
                total_matches += total_feature_counts[feature]  
        ave_matches = total_matches / len(features)
        if ave_matches < top_match:
            top_match = ave_matches
            top_outlier = item
    # add this outlier to list and update what i