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Diffstat (limited to 'python/pyspark/mllib/classification.py')
| -rw-r--r-- | python/pyspark/mllib/classification.py | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/python/pyspark/mllib/classification.py b/python/pyspark/mllib/classification.py index 5ec1a8084d..ffdda7ee19 100644 --- a/python/pyspark/mllib/classification.py +++ b/python/pyspark/mllib/classification.py @@ -31,6 +31,7 @@ from math import exp, log class LogisticRegressionModel(LinearModel): + """A linear binary classification model derived from logistic regression. >>> data = [ @@ -60,6 +61,7 @@ class LogisticRegressionModel(LinearModel): >>> lrm.predict(SparseVector(2, {1: 0.0})) <= 0 True """ + def predict(self, x): _linear_predictor_typecheck(x, self._coeff) margin = _dot(x, self._coeff) + self._intercept @@ -72,6 +74,7 @@ class LogisticRegressionModel(LinearModel): class LogisticRegressionWithSGD(object): + @classmethod def train(cls, data, iterations=100, step=1.0, miniBatchFraction=1.0, initialWeights=None, regParam=1.0, regType=None, intercept=False): @@ -108,6 +111,7 @@ class LogisticRegressionWithSGD(object): class SVMModel(LinearModel): + """A support vector machine. >>> data = [ @@ -131,6 +135,7 @@ class SVMModel(LinearModel): >>> svm.predict(SparseVector(2, {0: -1.0})) <= 0 True """ + def predict(self, x): _linear_predictor_typecheck(x, self._coeff) margin = _dot(x, self._coeff) + self._intercept @@ -138,6 +143,7 @@ class SVMModel(LinearModel): class SVMWithSGD(object): + @classmethod def train(cls, data, iterations=100, step=1.0, regParam=1.0, miniBatchFraction=1.0, initialWeights=None, regType=None, intercept=False): @@ -173,6 +179,7 @@ class SVMWithSGD(object): class NaiveBayesModel(object): + """ Model for Naive Bayes classifiers. @@ -213,6 +220,7 @@ class NaiveBayesModel(object): class NaiveBayes(object): + @classmethod def train(cls, data, lambda_=1.0): """ |