diff options
Diffstat (limited to 'python/pyspark/mllib/feature.py')
| -rw-r--r-- | python/pyspark/mllib/feature.py | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/python/pyspark/mllib/feature.py b/python/pyspark/mllib/feature.py index 7eaa2282cb..bde0f67be7 100644 --- a/python/pyspark/mllib/feature.py +++ b/python/pyspark/mllib/feature.py @@ -114,9 +114,9 @@ class JavaVectorTransformer(JavaModelWrapper, VectorTransformer): """ Applies transformation on a vector or an RDD[Vector]. - Note: In Python, transform cannot currently be used within - an RDD transformation or action. - Call transform directly on the RDD instead. + .. note:: In Python, transform cannot currently be used within + an RDD transformation or action. + Call transform directly on the RDD instead. :param vector: Vector or RDD of Vector to be transformed. """ @@ -139,9 +139,9 @@ class StandardScalerModel(JavaVectorTransformer): """ Applies standardization transformation on a vector. - Note: In Python, transform cannot currently be used within - an RDD transformation or action. - Call transform directly on the RDD instead. + .. note:: In Python, transform cannot currently be used within + an RDD transformation or action. + Call transform directly on the RDD instead. :param vector: Vector or RDD of Vector to be standardized. :return: Standardized vector. If the variance of a column is @@ -407,7 +407,7 @@ class HashingTF(object): Maps a sequence of terms to their term frequencies using the hashing trick. - Note: the terms must be hashable (can not be dict/set/list...). + .. note:: The terms must be hashable (can not be dict/set/list...). :param numFeatures: number of features (default: 2^20) @@ -469,9 +469,9 @@ class IDFModel(JavaVectorTransformer): the terms which occur in fewer than `minDocFreq` documents will have an entry of 0. - Note: In Python, transform cannot currently be used within - an RDD transformation or action. - Call transform directly on the RDD instead. + .. note:: In Python, transform cannot currently be used within + an RDD transformation or action. + Call transform directly on the RDD instead. :param x: an RDD of term frequency vectors or a term frequency vector @@ -551,7 +551,7 @@ class Word2VecModel(JavaVectorTransformer, JavaSaveable, JavaLoader): """ Transforms a word to its vector representation - Note: local use only + .. note:: Local use only :param word: a word :return: vector representation of word(s) @@ -570,7 +570,7 @@ class Word2VecModel(JavaVectorTransformer, JavaSaveable, JavaLoader): :param num: number of synonyms to find :return: array of (word, cosineSimilarity) - Note: local use only + .. note:: Local use only """ if not isinstance(word, basestring): word = _convert_to_vector(word) |