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python/pyspark/mllib/stat/KernelDensity.py

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@@ -25,6 +25,7 @@
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from pyspark.mllib.common import callMLlibFunc
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from pyspark.rdd import RDD
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class KernelDensity(object):
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"""
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.. note:: Experimental
@@ -56,5 +57,5 @@ def estimate(self, points):
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"""Estimate the probability density at points"""
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points = list(points)
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densities = callMLlibFunc(
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"estimateKernelDensity", self._sample, self._bandwidth, points)
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"estimateKernelDensity", self._sample, self._bandwidth, points)
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return np.asarray(densities)

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