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-rw-r--r--python/pyspark/mllib/fpm.py8
1 files changed, 0 insertions, 8 deletions
diff --git a/python/pyspark/mllib/fpm.py b/python/pyspark/mllib/fpm.py
index fb226e84e5..f58ea5dfb0 100644
--- a/python/pyspark/mllib/fpm.py
+++ b/python/pyspark/mllib/fpm.py
@@ -31,8 +31,6 @@ __all__ = ['FPGrowth', 'FPGrowthModel', 'PrefixSpan', 'PrefixSpanModel']
@ignore_unicode_prefix
class FPGrowthModel(JavaModelWrapper, JavaSaveable, JavaLoader):
"""
- .. note:: Experimental
-
A FP-Growth model for mining frequent itemsets
using the Parallel FP-Growth algorithm.
@@ -70,8 +68,6 @@ class FPGrowthModel(JavaModelWrapper, JavaSaveable, JavaLoader):
class FPGrowth(object):
"""
- .. note:: Experimental
-
A Parallel FP-growth algorithm to mine frequent itemsets.
.. versionadded:: 1.4.0
@@ -108,8 +104,6 @@ class FPGrowth(object):
@ignore_unicode_prefix
class PrefixSpanModel(JavaModelWrapper):
"""
- .. note:: Experimental
-
Model fitted by PrefixSpan
>>> data = [
@@ -133,8 +127,6 @@ class PrefixSpanModel(JavaModelWrapper):
class PrefixSpan(object):
"""
- .. note:: Experimental
-
A parallel PrefixSpan algorithm to mine frequent sequential patterns.
The PrefixSpan algorithm is described in J. Pei, et al., PrefixSpan:
Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth