Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6087#discussion_r30195900
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -208,13 +235,21 @@ class GaussianMixture(object):
:param convergenceTol: Threshold value to check the convergence
criteria. Defaults to 1e-3
:param maxIterations: Number of iterations. Default to 100
:param seed: Random Seed
+ :param initialModel: The initial GMM starting point
"""
@classmethod
- def train(cls, rdd, k, convergenceTol=1e-3, maxIterations=100,
seed=None):
+ def train(cls, rdd, k, convergenceTol=1e-3, maxIterations=100,
seed=None, initialModel=None):
"""Train a Gaussian Mixture clustering model."""
- weight, mu, sigma = callMLlibFunc("trainGaussianMixture",
- rdd.map(_convert_to_vector), k,
- convergenceTol, maxIterations,
seed)
+ initialModelWeights = None
+ initialModelMu = None
+ initialModelSigma = None
+ if initialModel is not None:
+ initialModelWeights = initialModel.weights
--- End diff --
Could you please check if k == initialModel.k here and raise an error with
a nice message if not?
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