viirya commented on a change in pull request #30413:
URL: https://github.com/apache/spark/pull/30413#discussion_r529108779
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File path: python/pyspark/mllib/classification.py
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@@ -88,20 +88,26 @@ 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 bea 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.
+ .. versionadded:: 0.9.0
+ Parameters
+ ----------
+ weights : :py:class:`pyspark.mllib.linalg.Vector`
+ Weights computed for every feature.
+ intercept : float
+ Intercept computed for this model. (Only used in Binary Logistic
+ Regression. In Multinomial Logistic Regression, the intercepts will
+ not bea single value, so the intercepts will be part of the
Review comment:
not bea -> not be a
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