LogisticRegressionSummary¶
-
class
pyspark.ml.classification.
LogisticRegressionSummary
(java_obj=None)[source]¶ Abstraction for Logistic Regression Results for a given model.
New in version 2.0.0.
Methods
Attributes
Methods Documentation
-
fMeasureByLabel
(beta=1.0)[source]¶ Returns f-measure for each label (category).
New in version 2.3.0.
Attributes Documentation
-
accuracy
¶ Returns accuracy. (equals to the total number of correctly classified instances out of the total number of instances.)
New in version 2.3.0.
-
falsePositiveRateByLabel
¶ Returns false positive rate for each label (category).
New in version 2.3.0.
-
featuresCol
¶ Field in “predictions” which gives the features of each instance as a vector.
New in version 2.0.0.
-
labelCol
¶ Field in “predictions” which gives the true label of each instance.
New in version 2.0.0.
-
labels
¶ Returns the sequence of labels in ascending order. This order matches the order used in metrics which are specified as arrays over labels, e.g., truePositiveRateByLabel.
Note: In most cases, it will be values {0.0, 1.0, …, numClasses-1}, However, if the training set is missing a label, then all of the arrays over labels (e.g., from truePositiveRateByLabel) will be of length numClasses-1 instead of the expected numClasses.
New in version 2.3.0.
-
precisionByLabel
¶ Returns precision for each label (category).
New in version 2.3.0.
-
predictionCol
¶ Field in “predictions” which gives the prediction of each class.
New in version 2.3.0.
-
predictions
¶ Dataframe outputted by the model’s transform method.
New in version 2.0.0.
-
probabilityCol
¶ Field in “predictions” which gives the probability of each class as a vector.
New in version 2.0.0.
-
recallByLabel
¶ Returns recall for each label (category).
New in version 2.3.0.
-
truePositiveRateByLabel
¶ Returns true positive rate for each label (category).
New in version 2.3.0.
-
weightedFalsePositiveRate
¶ Returns weighted false positive rate.
New in version 2.3.0.
-
weightedPrecision
¶ Returns weighted averaged precision.
New in version 2.3.0.
-
weightedRecall
¶ Returns weighted averaged recall. (equals to precision, recall and f-measure)
New in version 2.3.0.
-
weightedTruePositiveRate
¶ Returns weighted true positive rate. (equals to precision, recall and f-measure)
New in version 2.3.0.
-