Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/10598#discussion_r48913054
--- Diff: python/pyspark/mllib/classification.py ---
@@ -94,16 +94,18 @@ class
LogisticRegressionModel(LinearClassificationModel):
Classification model trained using Multinomial/Binary Logistic
Regression.
- :param weights: Weights computed for every feature.
- :param intercept: Intercept computed for this model. (Only used
- in Binary Logistic Regression. In Multinomial Logistic
- Regression, the intercepts will not be a single value,
- so the intercepts will be part of the weights.)
- :param numFeatures: the dimension of the features.
- :param numClasses: the number of possible outcomes for k classes
- classification problem in Multinomial Logistic Regression.
- By default, it is binary logistic regression so numClasses
- will be set to 2.
+ :param weights:
+ Weights computed for every feature.
+ :param intercept:
+ Intercept computed for this model. (Only used in Binary Logistic
+ Regression. In Multinomial Logistic Regression, the intercepts will
not
+ be a single value, so the intercepts will be part of the weights.)
+ :param numFeatures:
+ the dimension of the features.
--- End diff --
nit: capitalize the first word in the description sentence
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