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Diffstat (limited to 'python/pyspark/mllib/stat/_statistics.py')
| -rw-r--r-- | python/pyspark/mllib/stat/_statistics.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/python/pyspark/mllib/stat/_statistics.py b/python/pyspark/mllib/stat/_statistics.py index 67d5f0e44f..49b26446db 100644 --- a/python/pyspark/mllib/stat/_statistics.py +++ b/python/pyspark/mllib/stat/_statistics.py @@ -164,7 +164,6 @@ class Statistics(object): of fit test of the observed data against the expected distribution, or againt the uniform distribution (by default), with each category having an expected frequency of `1 / len(observed)`. - (Note: `observed` cannot contain negative values) If `observed` is matrix, conduct Pearson's independence test on the input contingency matrix, which cannot contain negative entries or @@ -176,6 +175,8 @@ class Statistics(object): contingency matrix for which the chi-squared statistic is computed. All label and feature values must be categorical. + .. note:: `observed` cannot contain negative values + :param observed: it could be a vector containing the observed categorical counts/relative frequencies, or the contingency matrix (containing either counts or relative frequencies), |