class pyspark.ml.evaluation.BinaryClassificationEvaluator(*, rawPredictionCol='rawPrediction', labelCol='label', metricName='areaUnderROC', weightCol=None, numBins=1000) 二进制分类的评估器,它需要输入列 rawPrediction、标签和可选的权重列。 rawPrediction 列可以是 double 类型(二进制 0/1 预测,或标签 1...
Toggle navigation Sign in Search or jump to... Sign in Sign up # Star Here is 1 public repository matching this topic... Ansu-John/ML-Classification Star1 Build and evaluate classification model using PySpark 3.0.1 library. sparknaive-bayes-classifierclassificationlogistic-regressionfactorization-ma...
因此我们决定通过交叉验证将f1-得分用于超参数选择，我们使用pyscem2.3和pyspark.ml，我们创建了一个Cros...