[SPARK-7382][MLLIB] Feature Parity in PySpark for ml.classification

[brkyvz]

The missing pieces in ml.classification for Python!

cc @mengxr

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Merged build triggered.

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Test build #32577 has started for PR 6106 at commit 1048e29.

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Test build #32577 has finished for PR 6106 at commit 1048e29.

• This patch fails Python style tests.
• This patch merges cleanly.
• This patch adds the following public classes (experimental):
  • class TreeClassifierParams(object):
  • class GBTParams(object):
  • class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol,
  • class DecisionTreeClassificationModel(JavaModel):
  • class RandomForestClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasSeed,
  • class RandomForestClassificationModel(JavaModel):
  • class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasMaxIter,
  • class GBTClassificationModel(JavaModel):
  • ("probabilityCol", "Column name for predicted class conditional probabilities. " +
  • class HasProbabilityCol(Params):
  • probabilityCol = Param(Params._dummy(), "probabilityCol", "Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.")
  • self.probabilityCol = Param(self, "probabilityCol", "Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.")

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[SparkQA]

Test build #32580 has started for PR 6106 at commit dd78237.

[SparkQA]

Test build #32580 has finished for PR 6106 at commit dd78237.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds the following public classes (experimental):
  • class TreeClassifierParams(object):
  • class GBTParams(object):
  • class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol,
  • class DecisionTreeClassificationModel(JavaModel):
  • class RandomForestClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasSeed,
  • class RandomForestClassificationModel(JavaModel):
  • class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasMaxIter,
  • class GBTClassificationModel(JavaModel):
  • ("probabilityCol", "Column name for predicted class conditional probabilities. " +
  • class HasProbabilityCol(Params):
  • probabilityCol = Param(Params._dummy(), "probabilityCol", "Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.")
  • self.probabilityCol = Param(self, "probabilityCol", "Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.")

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Test PASSed.

[mengxr]

LGTM. Merged into master and branch-1.4. Thanks!